Entries by Harshita Sharma

Parse Biosciences Evercode™ WT FFPE

Parse Biosciences Evercode™ WT FFPE

Whole Transcriptome Single-Cell RNA-Seq From the Archived Samples You Already Have

Evercode™ WT FFPE brings whole transcriptome single-cell RNA sequencing to formalin-fixed, paraffin-embedded tissue — unlocking retrospective cohorts that have historically been out of reach for discovery-driven transcriptomics. Unlike existing FFPE single-cell methods that rely on targeted probe panels and limit your analysis to a predefined gene list, Evercode WT FFPE uses reverse transcription-based chemistry to capture the full transcriptome directly from archived tissue. The result is unbiased, discovery-scale snRNA-seq from the clinical samples you already have in storage — without restricting what you can find before you start looking.

Designed for cohort-scale studies, Evercode WT FFPE supports processing from a single sample up to 96 samples per run, with cell throughput scaling from 10,000 to 5 million cells across four kit configurations. Combinatorial barcoding is built into the workflow — multiplexing requires no additional steps or protocols, minimising batch effects and technical variability across large sample sets. The platform is instrument-free and automation-compatible, supporting straightforward adoption and scale-up across standard and high-throughput laboratory environments. As your ANZ distributor for Parse Biosciences, Decode Science can advise on kit selection, experimental design, and workflow integration for your specific cohort.

Key Features:
What makes FFPE Popular?

Whole Transcriptome Profiling — Not a Probe Panel

Every targeted FFPE single-cell method makes the same trade-off: you get clean data on the genes you chose, and nothing on the ones you didn't. Evercode WT FFPE captures the full transcriptomic landscape — including transcript isoforms, SNPs, and long non-coding RNAs — without restricting discovery to a predefined panel. For researchers working on cell state identification, regulatory biology, or exploratory cohort analysis, this is the difference between confirmation and genuine discovery.

Reliable Gene Expression Data From Degraded RNA

FFPE fixation fragments RNA, and fragmented RNA has historically degraded the accuracy of gene expression measurements. Evercode WT FFPE uses reverse transcription chemistry specifically optimised for fragmented RNA, enabling consistent gene expression detection and confident cell state identification from archival material. The resulting data are directly comparable with fresh tissue datasets — preserving biological signal across sample types and supporting cross-cohort integration without correction artefacts.

Cohort-Scale Multiplexing Built Into the Workflow

Combinatorial barcoding allows entire sample cohorts to be processed together in a single experiment — up to 96 samples per run — without additional multiplexing steps or reagents. This minimises technical variability between samples, supports robust statistical power across large study designs, and makes retrospective cohort studies at scale practically feasible for the first time with FFPE single-cell data.

Instrument-Free and Automation-Compatible Across Four Kit Sizes

Evercode WT FFPE requires no dedicated instrument for the core workflow, lowering the barrier to adoption and making it accessible to labs without specialised single-cell infrastructure. Four kit configurations — Mini, Standard, Mega, and Penta — scale from 10,000 cells and 1–12 samples up to 5 million cells and 1–96 samples, supporting everything from pilot experiments to large-scale clinical cohort studies. The workflow is compatible with laboratory automation for high-throughput operations.

Ebru Boslem, PhD

ANZ Market Manager - Research Genomics

Not sure which kit configuration fits your cohort size?

Our team can help you match the right Evercode WT FFPE kit to your sample numbers, cell input, and experimental design.

Watch How Evercode Technology Works

It all starts with Evercode split-pool combinatorial barcoding, our proprietary technology that labels molecules with cell-specific combinations of barcodes.

Why It Matters to You

Because Your Most Valuable Samples Are Already in the Biobank


Fresh tissue single-cell studies are powerful — but they’re prospective by design. The patients you’ve already treated, the tumours you’ve already resected, the longitudinal samples you’ve already collected — those are locked in FFPE blocks, largely inaccessible to the transcriptomic methods that would extract the most value from them.

Evercode WT FFPE changes that calculus. Its relevance is clearest in these settings:

Retrospective cohort studies

Clinical biobanks represent years of carefully annotated patient samples. Whole transcriptome snRNA-seq from these collections enables discovery-driven analysis of disease progression, treatment response, and cellular heterogeneity at a scale and clinical depth that prospective studies take years to replicate.

Tumour microenvironment and cell state analysis

FFPE tissue preserves spatial and cellular context. Evercode WT FFPE recovers full transcriptomic complexity from these samples — including lncRNA expression and regulatory transcript diversity — enabling characterisation of rare cell states and microenvironmental programs that targeted panels miss entirely.

Multi-site and multi-cohort studies

Built-in multiplexing and instrument-free operation make it straightforward to harmonise sample processing across institutions and study sites, reducing the batch effects that complicate cross-cohort comparison.

Integration with fresh tissue data

Evercode WT FFPE data are directly comparable with fresh tissue snRNA-seq datasets, enabling combined analysis across sample types within a single study and supporting meta-analyses that span preservation methods.

Product Data: Performance From Archived Tissue

Whole transcriptome single cell profiling from FFPE samples

Accurate Cell State Identification From FFPE

Evercode WT FFPE enables confident identification and annotation of distinct cell populations from archived FFPE tissue, with gene expression measurements that support direct integration with fresh tissue reference datasets. Cell state resolution is maintained across sample types, preserving biological signal through the variability introduced by fixation and archival storage.

lncRNA and Regulatory Transcript Detection

Whole transcriptome capture recovers biologically meaningful regulatory RNA species that targeted panels cannot access. Long non-coding RNA expression — including transcripts such as TUG1, LINC00993, and LINC00472 — is detectable across annotated cell populations, enabling analysis of regulatory programs within specific cell states. In TNBC tumour epithelial cells, for example, differential lncRNA expression across proliferating and non-proliferating states reflects the complex regulatory landscape across breast cancer subtypes — a finding that probe-based methods cannot surface.

Ready to sequence your FFPE cohort?

Request a quote or talk through your experimental design — we’ll respond at the earliest. Our team can help you match the right Evercode WT FFPE kit to your sample numbers, cell input, and experimental design.

Cohort-Scale Multiplexing With Minimised Batch Effects

Processing multiple samples within a single combinatorial barcoding experiment reduces technical variability and supports the statistical power needed for meaningful biological comparisons. Large retrospective cohorts can be processed together without introducing the batch effects that arise from sequential single-sample runs — a critical requirement for clinical cohort studies where sample-to-sample consistency directly impacts interpretation.

Scalable Throughput Across Four Kit Configurations

Kit Cells per Run Samples per Run
Evercode WT FFPE Mini Up to 10,000 1–12
Evercode WT FFPE 10,000–100,000 1–48
Evercode WT FFPE Mega 100,000–1,000,000 1–96
Evercode WT FFPE Penta 1,000,000–5,000,000 1–96

Resources

Download Product Sheet Instantly!


    Related Products

    Evercode™ Whole Transcriptome v4

    BCR Sequencing of 1 Million Samples

    Comparison of Evercode™ WT v4 and Chromium™ GEM-X Single Cell 3’ Kit v4 in Human PBMCs

    Comparison of Evercode™ WT v3 and Chromium™ GEM-X Single Cell 3’ Kit v4

    FAQs


    Most existing FFPE single-cell approaches rely on targeted probe panels, which means your analysis is restricted to genes included in the panel at the time of design. Evercode WT FFPE uses reverse transcription-based chemistry to capture the full transcriptome, enabling unbiased discovery — including regulatory transcripts, lncRNAs, and transcript isoforms that probe-based methods cannot recover.

    Evercode WT FFPE has been validated across a range of FFPE tissue types including tumour tissue. Contact Decode Science for tissue-specific guidance relevant to your sample type and storage conditions.

    No. The core Evercode WT FFPE workflow is instrument-free and compatible with standard laboratory equipment. It is also compatible with laboratory automation for high-throughput processing.

    This depends on your kit configuration. The Mini kit supports 1–12 samples; the standard kit supports 1–48; and both the Mega and Penta kits support 1–96 samples per run.

    Yes. Evercode WT FFPE is specifically designed to produce data directly comparable with fresh tissue datasets, supporting integration and cross-cohort analysis within a single study.

    Evercode WT FFPE libraries are compatible with Illumina sequencing platforms. Contact Decode Science for guidance on sequencing depth and read length requirements for your application.

    Evercode WT FFPE uses reverse transcription chemistry optimised for fragmented RNA and does not require intact RNA. Contact Decode Science for guidance on tissue age, fixation duration, and input quality thresholds relevant to your samples.

    Full protocols and technical documentation are available from Decode Science on request.

    Do you have a question?

    Our team is one form away.

    We only need below information to serve you better. Decode Science respects your privacy and will never spam you with unrelated content.




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      Twist PCR-Free WGS Library Preparation Kit

      Twist Bioscience Logo White

      Twist PCR-Free WGS Library Preparation Kit

      The Twist PCR-Free WGS Library Preparation Kit is engineered for researchers who need their sequencing data to reflect the genome as it actually exists — not as amplification has reshaped it. By eliminating the PCR amplification step entirely, this kit preserves native genome representation from the outset, removing the single greatest source of coverage bias in whole genome sequencing workflows. Built on Twist’s optimised enzymatic fragmentation and high-efficiency ligation chemistry, the workflow delivers consistent insert sizes, minimised ligation bias, and uniform genome-wide coverage that supports confident variant characterisation from the first run.

      Designed to scale from individual research projects to population-level sequencing studies, the PCR-Free WGS kit supports multiplexing of up to 1,536 samples per run via Twist’s full-length unique dual index (UDI) adapters — making it equally suited to high-throughput core laboratories and discovery programmes with large cohort requirements. As your authorised Australian distributor, Decode Science can support you with kit configurations, protocol guidance, and compatibility assessment for your sequencing platform and informatics pipeline.

      Exclusive Offer for now!!

      50% off 16 sample workflow kits & 50% off 96 sample kits. 

      Submit Your Interest

      Data

      Why

      It Matters

      Download Instantly

      Know in Detail

      But... Why Choose PCR-Free WGS Library Prep?


      Amplification-Free Prep for Native Genome

      Minimised Ligation Bias for Maximum Conversion

      Consistent Insert Size Control Across a Wide Input Range

      Scale to 1,536-Plex Without Sacrificing Data Quality

      Product Data: Performance Where It Counts


      Robust Library Yield Maintained at Low Input

      The PCR-Free WGS kit delivers strong library yields and consistent library size distribution even as DNA input is reduced, outperforming competitor PCR-free workflows at equivalent input levels. Efficient ligation chemistry drives conversion across input amounts — producing sequencer-ready libraries that don’t require amplification rescue when input is reduced.

      Figure 1. PCR-free library yield comparison across inputs. Final library concentration (nM) was measured following PCR-free library preparation using the indicated DNA inputs. Twist PCR-Free WGS Library Preparation generated higher library yields than competitor workflows at equivalent inputs and maintained strong performance at lower inputs.

      Reproducible Insert Size Control From 300 ng to 37.5 ng

      Median insert sizes remain consistent across the full supported input range, from 300 ng down to 37.5 ng. Minimal read overlap across samples in this range confirms that fragment size control is maintained regardless of input quantity — supporting dependable genome-wide coverage without depth fluctuation between samples.

      Figure 2. The kit produces consistently large inserts across a wide range of DNA samples. (A)Median Insert Size is represented for 300 ng, 75 ng, and 37.5 ng of NA12878 DNA sample input. (B) Percent Overlap (which measures how much paired-end sequencing reads redundantly cover the same DNA bases) is represented for 300 ng, 75 ng, and 37.5 ng of NA12878 sample input.

      Tunable Fragment Lengths for Workflow Flexibility

      Enzymatic fragmentation parameters can be adjusted to produce insert size distributions matched to the requirements of your sequencing platform and read length. This gives laboratories flexibility to optimise the prep for their specific instruments and analysis pipelines without sacrificing inter-batch reproducibility.

      Figure 3. Tunability of Twist PCR-Free WGS Library Prep Kit.

      A: Five electropherograms of NGS libraries generated using differing fragmentation times. 50 ng of high-quality gDNA was fragmented for various times at 32°C.

      Consistent GC Coverage Across All Input Levels

      One of the most persistent sources of WGS data quality problems is differential coverage across GC content — PCR amplification exacerbates this by further enriching already-accessible fragments. By removing amplification, the PCR-Free WGS kit maintains even coverage across GC content categories regardless of input, yielding cleaner, more interpretable genome-wide data.

      Figure 4. The Twist PCR-Free WGS Library Preparation Kit provides more consistent coverage distribution across varying GC content. The kit shows minimized GC bias even at low inputs, thereby reducing the need for additional sequencing to achieve uniform coverage and better detection of variants in the high- and low-GC content regions.

      Watch How It Works

      Two steps to sequencer-ready whole genome libraries.

      The PCR-Free WGS workflow is deliberately streamlined — complexity is removed at the chemistry level, not pushed onto the operator.

      Step 1 — Enzymatic Fragmentation: Input DNA is enzymatically fragmented to produce consistent, tunable insert sizes across all samples in a batch. No sonication, no shear-related variability — just controlled, reproducible fragmentation that sets the foundation for uniform downstream coverage.

      Step 2 — Adapter Ligation: Twist’s optimised ligase chemistry maximises adapter conversion efficiency while minimising ligation bias. The result is a sequencer-ready library that accurately represents the molecular diversity of your input, with no amplification step introducing artificial enrichment of any genomic region.

      Why It Matters to You?

      Because Whole Genome Sequencing Is Only as Good as What It Captures


      Whole genome sequencing is increasingly the method of choice for variant discovery, structural analysis, and population-scale genomics — but the value of WGS data depends entirely on whether the library faithfully represents the genome that went into it. Amplification-based workflows introduce systematic biases that are difficult to distinguish from true biological signal, particularly in AT-rich regions, repetitive elements, and low-complexity sequences.

      The PCR-Free WGS kit addresses this directly. Its impact is most relevant for:

      Population and cohort genomics

       Large-scale studies demand per-sample consistency, reproducible coverage distributions, and the ability to scale indexing without index hopping or sample cross-contamination. UDI adapter compatibility and 1,536-plex capacity make this feasible at production scale.

      Structural variant and CNV detection

      Accurate copy number and structural variant calls depend on even baseline coverage across the genome. Amplification-induced regional bias creates false signals that complicate interpretation; PCR-free prep removes this confounder at source.

      Germline variant discovery

      Comprehensive, unbiased genome representation is the baseline requirement for germline variant calling, particularly in regions with extreme GC content or repetitive architecture that amplification-based methods handle poorly.

      High-throughput sequencing cores

      Consistent insert sizes, robust yields across a range of inputs, and multiplexing capacity that scales to 1,536 samples translate directly to higher instrument utilisation and lower per-sample sequencing cost.

      Chris Wicky

      Clinical Genomics Manager - ANZ & Country Manager - NZ

      Planning a whole genome sequencing study or scaling an existing one?
       
      Our team can help you assess input requirements, multiplexing strategy, and expected data output for your specific application. 

      Related Products


      Twist TrueAmp Library Prep Kit

      High-fidelity amplification-based library prep for target enrichment and challenging low-input or FFPE samples

      Twist Custom NGS Panels

      Design and order target enrichment panels tailored to your gene list or genomic region of interest

      Twist Exome 2.0

      Comprehensive exome capture panel with proven uniformity across canonical and difficult targets

      Resources


      Download PCR-Free WGS Library Prep Product Sheet

      Unlock with quick sign up!


        FAQs


         Amplification-free workflows are more sensitive to input DNA quality than PCR-based methods, as there is no amplification step to recover yield from degraded material. High molecular weight, intact genomic DNA is recommended. If your samples are degraded or of variable quality, the Twist TrueAmp Library Preparation Kit may be a better fit — contact Decode Science to discuss.

         The PCR-Free WGS kit maintains robust performance from 300 ng down to 37.5 ng DNA input, with consistent insert sizes and sequencing-ready yields across this range.

        The kit is compatible with Twist’s full-length UDI adapter system, supporting multiplexing of up to 1,536 uniquely indexed samples per sequencing run.

        In direct comparisons, the PCR-Free WGS kit delivers higher library yields than competitor PCR-free workflows at equivalent inputs. The absence of amplification removes duplicate reads from the sequencing output, meaning a greater proportion of reads generated are informative — improving effective sequencing depth per run.

         The kit is compatible with Illumina sequencing platforms. Contact Decode Science for guidance on read length optimisation and coverage depth requirements for your specific platform and study design.

         Yes. Amplification-free library prep is particularly well-suited to structural variant and copy number variant analysis, where even baseline coverage is essential. Removing PCR-induced regional enrichment reduces false positive signals in copy number calling.

        The Twist PCR-Free WGS Library Preparation Kit protocol is available from Decode Science on request.

        Talk to Us About PCR-Free WGS

        We only need these information to serve you better. Decode Science respects your privacy and will never spam you with unrelated content.




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          Twist TrueAmp Library Preparation Kit

          Twist Bioscience Logo White

          Twist TrueAmp Library Preparation Kit

          The Twist TrueAmp Library Preparation Kit is a precision-engineered solution for next-generation sequencing target enrichment workflows, purpose-built for laboratories that cannot afford to lose data from difficult samples. At its core is the Twist TrueAmp polymerase — a high-fidelity amplification enzyme optimised to suppress amplification-induced errors and GC-related bias, delivering the coverage uniformity your downstream variant analysis demands. Whether you’re working with pristine input or fighting the constraints of degraded FFPE material, TrueAmp is designed to keep your libraries representative and your results reproducible.

          Paired with optimised enzymatic fragmentation and a high-efficiency ligation step, the TrueAmp workflow delivers tunable, consistent insert sizes across a wide range of input quantities — making it well-suited to mixed-input workflows and scaled sequencing operations. From pre-capture yield to on-target coverage, every metric reflects the same design intent: higher library complexity, fewer reruns, and greater confidence in variant calls from the first pass. As your authorised Australian distributor, Decode Science can advise on kit configurations, protocol optimisation, and compatibility with your current target enrichment panels.

          Exclusive Offer for now!!

          50% off 16 sample workflow kits & 50% off 96 sample kits. 

          Submit Your Interest

          Data

          Why

          It Matters

          Download Instantly

          Know in Detail

          But... Why Choose TrueAmp Library Prep?


          Delivers Reliable Coverage Across the Hardest Genomic Regions

          High Conversion Efficiency From Low-Input and FFPE Samples

          High-Fidelity Amplification for Low VAF Variant Detection

          Consistent Fragment Sizes Across Inputs for Scalable Workflows

          Product Data: Performance Where It Counts


          Higher Yield and Coverage From Your Most Challenging Inputs

          When working with low-input or degraded FFPE DNA, pre-capture library yield is the first indicator of whether a prep has succeeded or failed. TrueAmp consistently delivers higher pre-capture yields alongside stronger mean target coverage — without sacrificing library complexity. The result is more sequenceable molecules from the same difficult starting material, fewer failed runs, and less pressure on irreplaceable samples.

          Figure 1. Performance comparison of enriched libraries with low-input FFPE degraded samples (DIN <2.2) between TrueAmp Library Preparation Kit and competitor K kit, demonstrating the optimal solution for challenging sample applications. (A) The Twist TrueAmp Library Preparation Kit generates superior pre-capture library yield, indicative of high library construction and amplification efficiency. (B) The Twist TrueAmp Library Preparation Kit shows higher library complexity when compared with the competitor’s kits. This allows for more unique DNA molecules that are sequenceable in the library, reducing sequencing costs. (C) Achieves higher coverage.

          Uniform Coverage With Fewer Zero-Coverage Targets

          Gaps in coverage are not just an inconvenience — in target enrichment workflows, they represent missed variants and incomplete answers. TrueAmp reduces the proportion of zero-coverage targets across captured regions, improving coverage uniformity and giving you greater confidence that every target in your panel has been adequately interrogated. What you sequence is what you intended to sequence.

          Figure 2. Performance comparison of enriched libraries with low-input FFPE degraded samples (DIN <2.2) between TrueAmp Library Preparation Kit and competitor K kit, demonstrating the optimal solution for challenging sample applications. (A) Delivers excellent coverage uniformity, measured by a lower fold-80 base penalty. (B) Reduced regions with no coverage, measured by Percentage of Zero Coverage Targets.

          Consistent Performance Across GC-Extreme Regions

          GC content remains one of the most persistent sources of coverage bias in NGS library preparation. The TrueAmp Polymerase Mix is specifically formulated to maintain uniform amplification across both high- and low-GC regions — and critically, this performance holds even as PCR cycle number increases. For panels that include regulatory elements, repetitive regions, or GC-skewed targets, this translates directly to more complete and trustworthy data.

          Figure 3. Normalized GC bias trace showing improved coverage of the Twist TrueAmp polymerase. Libraries were prepared with Twist TrueAmp Library Preparation Kit and amplified with different polymerases and cycles.

          Upper panel: Normalized coverage against GC window plots comparing polymerases at 3 cycles of PCR.
          Lower panel: Normalized coverage against GC window plots comparing polymerases at 16 cycles of PCR.

          Reproducible Fragment Sizes Across a Wide Input Range

          Fragment size consistency underpins downstream QC, sequencing performance, and batch-to-batch reproducibility. TrueAmp delivers tightly controlled insert size distributions across a broad range of input DNA quantities, making it well-suited to mixed-input batching strategies and high-throughput workflows where uniformity at scale is non-negotiable.

          Figure 4. Reliable library size with Twist TrueAmp Library Prep Kit, even from ultra-low inputs.

          500 ng, 100 ng, 50 ng, 10 ng and 1 ng (gDNA) were fragmented at 32°C. 3, 5, 6, 8, 10, and 14 cycles of PCR were utilized for amplification, respectively. Samples have been performed in duplicates.

          A: Electropherograms of NGS libraries generated with the Twist TrueAmp Library Preparation Kit.

          B: Concentration of libraries after amplification for various DNA inputs.

          Tunable Insert Sizes for Application-Specific Optimisation

          Not every workflow demands the same library architecture. TrueAmp’s enzymatic fragmentation step produces repeatable, tunable insert sizes that can be adjusted to match your sequencing platform requirements and downstream analysis needs — providing flexibility without sacrificing the reproducibility your pipeline depends on.

          Figure 5. Tunability of Twist TrueAmp Library Prep Kit.

          A: Five electropherograms of NGS libraries generated using differing fragmentation times. 50 ng of high-quality gDNA was fragmented for various times at 32°C. 6 cycles of PCR were utilized for amplification.
          B: Median insert size vs time. 50 ng of high-quality gDNA was fragmented for various times at 32°C. Amplification was performed using 6 cycles of PCR. Samples were captured using the Twist Exome 2.0 panel.

          Watch How TrueAmp Works

          Three steps. Consistent results.

          The TrueAmp workflow is built around three precision-optimised steps that together deliver libraries you can sequence with confidence:

          Step 1 — Enzymatic Fragmentation: Extracted DNA is fragmented enzymatically to produce consistent, tunable insert sizes — no sonication required, no shear-related variability.

          Step 2 — Adapter Ligation: An optimised Twist ligase formulation maximises adapter conversion efficiency while minimising ligation bias, preserving molecular diversity from the very first step.

          Step 3 — Amplification via TrueAmp Polymerase: High-fidelity amplification boosts yield from challenging templates, maintains coverage uniformity across GC extremes, and supports sensitive downstream variant detection.

          Why It Matters to You?

          Because the Hardest Samples Carry the Most Important Questions


          In translational research and clinical genomics, the samples most critical to a study are often the ones that are hardest to sequence. Archival FFPE blocks, fine-needle aspirates, liquid biopsy specimens, and low-cellularity tumour sections are routinely degraded, limited in quantity, or variable in quality — and standard library prep kits frequently fail them.

          TrueAmp was engineered specifically for this challenge. Its impact is most pronounced where it matters most:

          Oncology and somatic variant detection

          Low VAF variants in heterogeneous tumour samples require error suppression and high complexity to call reliably. TrueAmp’s fidelity advantage directly supports this.

          FFPE-derived biobanked samples

          Legacy tissue samples carry irreplaceable longitudinal or retrospective data. Higher pre-capture yields from degraded input means more of that data becomes sequenceable.

          Target enrichment workflows

          Coverage uniformity across all captured targets — including GC-extreme regions — is the difference between a complete and an incomplete picture of your panel of interest.

          High-throughput core laboratories

           Reproducible fragment sizes and consistent performance across input ranges simplify batch QC, reduce failed libraries, and increase instrument utilisation.

          Chris Wicky

          Clinical Genomics Manager - ANZ & Country Manager - NZ

          Working with FFPE, low-input, or otherwise challenging samples?
           
          Our team can help you assess whether TrueAmp fits your current workflow and what to expect from your first run.

          Related Products


          Twist PCR-Free WGS Library Preparation Kit

          Bias-free whole genome libraries from high-quality input DNA, no amplification required

          Twist Custom NGS Panels

          Design and order target enrichment panels tailored to your gene list or genomic region of interest

          Twist Exome 2.0

          Comprehensive exome capture panel with proven uniformity across canonical and difficult targets

          Resources


          FAQs


          TrueAmp is specifically validated for challenging input types including FFPE-derived DNA (DIN <2.2), low-input samples, and variable-quality clinical specimens. It also performs well with high-quality genomic DNA across a wide input range.

          Input requirements vary by sample type and downstream application. TrueAmp is designed to deliver high conversion efficiency even from low-input and degraded samples — contact Decode Science for guidance specific to your sample type and target enrichment panel.

          Yes. TrueAmp is validated for use with both the Twist Universal Adapter System and the Twist UMI Adapter System, supporting error correction workflows for somatic variant detection and liquid biopsy applications.

          Absolutely. TrueAmp is designed to integrate with the full Twist target enrichment ecosystem, including Twist Custom NGS Panels and standard off-the-shelf panels such as Twist Exome 2.0.

          In head-to-head benchmarking against a leading competitor kit (Competitor K), TrueAmp generated superior pre-capture library yields, higher library complexity, and greater mean target coverage from the same degraded FFPE input — preserving more sequenceable molecules from precious, limited-quantity samples.

          TrueAmp libraries are compatible with Illumina sequencing platforms. For platform-specific guidance, contact our team.

          Protocols for TrueAmp with both the Universal Adapter System and UMI Adapter System are available from Decode Science on request.

          Talk to Us About TrueAmp

          We only need these information to serve you better. Decode Science respects your privacy and will never spam you with unrelated content.




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            Bruker Beacon Grant – Apply Now

            ⏳ Submissions Close: Friday, 17 July 2026 – 11:59 PM AEST

            Decode Science × Bruker × Monash Antibody Discovery Platform

            Beacon Grant - Apply Now

            Access the speed and power of Beacon Optofluidic Technology at hybridoma campaign pricing — for antibody discovery and T cell receptor profiling.

            2–4 wk

            ANTIBODY DISCOVERY

            4–6 wk

            TCR PROFILING

            700 wds

            MAX ABSTRACT LENGTH

            17 Jul

            APPLICATIONS CLOSE

            About the Grant


            Hybridoma Pricing. Beacon Power.

            Generating high-quality proof-of-concept antibody data or T cell receptor profiles ahead of a grant cycle or biotech milestone can determine whether a project advances or stalls. Access to cutting-edge single-cell functional screening has historically been limited by cost and infrastructure — until now.

            Decode Science, in partnership with Bruker and the Monash Antibody Discovery Platform, is offering two tiers of the Bruker Beacon Grant to support researchers across Australia and New Zealand. Successful applicants gain access to Beacon Optofluidic Technology at the equivalent cost of a traditional hybridoma campaign.

            Grant Tiers


            Two Pathways to Apply

            Choose the tier that best matches your institutional affiliation. Both tiers offer the same project scope and technology access.

            Tier 1 — Monash Researchers

            Monash Internal Grant

            $6,795

            Equivalent to a traditional hybridoma campaign

            1. Open to Monash University researchers
            2. Choice of Antibody Discovery (2–4 weeks) or T Cell Receptor Profiling (4–6 weeks)
            3. Abstract submission via landing page (500–700 words)
            4. Applications close: 17 July 2026
            5. Project must be completed by: 31 December 2026

            Tier 2 — ANZ Researchers

            ANZ Open Grant

            $15,000

            Equivalent to a traditional hybridoma campaign

            1. Open to all researchers in Australia and New Zealand
            2. Choice of Antibody Discovery (2–4 weeks) or T Cell Receptor Profiling (4–6 weeks)
            3. Abstract submission via landing page (500–700 words)
            4. Applications close: 17 July 2026
            5. Project must be completed by: 31 December 2026

            Runner-Up Prizes

            Unsuccessful applicants who are shortlisted will receive 25% off reagents and consumables for their next Beacon project — so every strong application has value.

            The Technology


            Beacon Optofluidic Technology

            Bruker’s Beacon platform uses Optofluidic technology to screen and recover single cells with unprecedented speed and precision. Unlike traditional hybridoma workflows, Beacon enables researchers to functionally screen thousands of single B cells or T cells in days — not months — identifying rare, high-value candidates with full sequence recovery.

            For antibody discovery, this means accelerated timelines from immunisation to lead candidate. For T cell receptor profiling, it enables direct pairing of TCRα and TCRβ chains from antigen-specific T cells, unlocking high-resolution immune repertoire data.

            The Monash Antibody Discovery Platform houses one of Australia’s few Beacon instruments, making this grant a unique opportunity for researchers across ANZ to access this technology without the traditional access barriers.

            Application Requirements


            What to Submit

            Applicants must provide their contact details and submit a scientific abstract outlining their proposed project. Your abstract is your opportunity to demonstrate scientific merit and feasibility.

            Abstract Guidelines

            500 – 700 Words

            → Scientific background and rationale for the project

            → Experimental objectives and hypothesis

            → Choice of project type: Antibody Discovery Campaign or T Cell Receptor Profiling

            → Sample type, source, and anticipated availability

            → Expected outcomes and how results will be used

            → Plans for follow-up work or scale-up if the project is successful

            KEY DATES


            Timeline

            Abstract Submission Deadline
            Friday, 17 July 2026
             
            Application Review Period
            Following close of submissions
             
            Winners Announced
            TBC — following review
             
            Project Completion Deadline
            31 December 2026

            SUBMIT YOUR ABSTRACT






              Whole transcriptome single cell analysis for FFPE tissues

              Whole transcriptome single cell analysis for FFPE tissues

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                Single Cell Whole Transcriptome Analysis of Breast Cancer FFPE Samples Across Tumor Subtypes

                Key Takeaways

                1. Whole transcriptome single cell profiling from archival FFPE breast cancer samples resolves tumor, stromal, and immune compartments in a single experiment
                2. Distinct epithelial programs are identified across clinically relevant subtypes, including ER+, ER/PR+, HER2+, and TNBC
                3. Subtype- and proliferation-associated lncRNA expression patterns are captured, highlighting the value of unbiased RNA profiling in FFPE samples

                Experimental Design:

                Formalin-fixed, paraffin-embedded (FFPE) tissue represents a vast source of clinically annotated samples, but has been difficult to use for whole transcriptome single cell analysis. In this dataset, nuclei isolated from 4 archived breast cancer FFPE samples were profiled using Evercode WT FFPE’s reverse transcription–based workflow designed to capture whole transcriptome expression from degraded RNA, profiling over 100,000 nuclei.

                These results demonstrate that FFPE samples enable whole transcriptome profiling that captures meaningful cell types and tumor subtype biology across multiple donors while preserving cellular heterogeneity.

                Results:

                Whole transcriptome profiling resolved epithelial tumor populations alongside stromal and immune compartments, including CAFs, endothelial cells, VSMCs, myeloid cells, pDCs, B cells, NKT cells, and mast cells.

                Cells cluster strongly by donor, with clear differences in gene expression programs across samples. Subtype-specific expression patterns distinguish ER+, ER/PR+, HER2+, and TNBC tumors, with TNBC remaining particularly distinct after integration.

                Figure 1: UMAP of human breast cancer FFPE nuclei. Tumor and proliferative epithelial states are resolved together with stromal and immune populations from FFPE samples.

                Subtype- and state-associated lncRNA expression

                Whole transcriptome profiling enables detection of biologically relevant lncRNAs across breast tumor cell states, revealing patterns linked to both tumor subtype and functional cell state.

                LINC00993, a lncRNA associated with tumor-suppressive activity in breast cancer, is enriched in luminal epithelial populations. In contrast, the oncogenic lncRNA TUG1 shows higher expression in TNBC and proliferating epithelial states. These patterns are consistent with known subtype-associated biology and highlight how lncRNA expression reflects underlying tumor programs.

                Figure 3: Proliferation-associated lncRNA expression.

                Expression of TUG1 and additional lncRNAs across proliferating epithelial populations marked by Ki67 protein expression. Proliferating tumor cells show increased expression of specific lncRNAs, linking noncoding RNA activity to cell cycle state.

                Proliferating epithelial populations show coordinated expression of TUG1 alongside proliferation markers, indicating an association between lncRNA activity and cell cycle progression.

                Together, these results demonstrate that whole transcriptome FFPE profiling captures both coding and noncoding features of tumor biology across subtype and cell state.

                Figure 2: Subtype-associated lncRNA expression across breast tumor cell states.

                To further connect lncRNA expression with functional and clinical measures of proliferation, lncRNA expression was assessed using Ki67 positivity, as determined by prior immunohistochemistry protein staining.

                Dot plot showing expression of LINC00993 and TUG1 across annotated cell populations. LINC00993 is enriched in luminal epithelial populations, while TUG1 is elevated in TNBC and proliferating epithelial populations. Dot size indicates the percent of cells expressing each transcript and color indicates average expression.

                Dr. Ebru Boslem

                ANZ Market Manager - Research Genomics

                As the official distributor in Australia and New Zealand, Decode Science makes accessing genomics solutions straightforward. Our role is to connect your lab with advanced technologies, ensuring you get the right solution for your sequencing projects—delivered locally with support when you need it.

                MosaiX Library Prep Kit

                High-Complexity Libraries in 90 Minutes — With the Lowest Insertion Bias on the Market

                Download Instant Resources

                View Product Comparison Chart

                What Is MosaiX™?

                MosaiX™ Library Prep Kit from seqWell combines the speed of tagmentation with the precision of ligation-based methods — without compromise. At its core is TnX, a next-generation engineered transposase that dramatically reduces the insertion site bias associated with conventional Tn5 enzymes. The result is libraries with exceptional molecular complexity, uniform coverage, and minimal duplication — from as little as 1 ng of input DNA.

                Whether you’re scaling population genomics studies, performing whole genome or exome sequencing, or running targeted capture panels across human, plant, or animal samples, MosaiX delivers publication-ready data with a workflow that fits into a single morning. Directional tagmentation means you spend less time troubleshooting and more time generating insights.

                seqWell’s Directional Tagmentation ...complexity made simple

                TnX: Next-Generation Transposase

                Engineered for reduced insertion site bias compared to standard Tn5, TnX consistently accesses difficult genomic regions — including clinically relevant exome targets that other methods miss.

                90-Minute Workflow, 35 Minutes Hands-On

                From DNA to sequencer-ready library in under two hours. Minimal hands-on steps mean you can process more samples with less effort and fewer errors.

                High Complexity, Low Duplication

                MosaiX libraries routinely outperform bead-linked Tn5 preparations in library complexity and duplication rates — giving you more usable data per sequencing run.

                Flexible Input & Broad Compatibility

                Works with 1–50 ng gDNA in common buffers (Tris, TE, water). Compatible with all Illumina platforms, plus Element AVITI™ and Complete Genomics via conversion kits.

                seqWell Directional Tagmentation vs MosaiX 90-minute Workflow

                Chris Wicky

                Clinical Sales Manager - ANZ
                Country Manager - NZ

                Need help choosing the right kit for your application? Our technical specialists are ready to advise — reach out now and we’ll respond within the hour.

                The TnX Difference
                Reduced insertion site bias

                Read start site insertion bias was measured by examining the frequency of bases in the first 9 bases of each read. Positions with higher per-base nucleotide bias are represented by heights for hyperactive Tn5 and TnX, and illustrate the reduced bias of TnX.

                Why It Matters to You

                Traditional tagmentation is fast but...

                comes with trade-offs: insertion bias, lower complexity, and missed targets. Ligation methods deliver quality but demand time and technical finesse. MosaiX bridges that gap.

                For labs running population-scale studies,

                every percentage point in duplication rate and every missed exon target translates to wasted sequencing spend and compromised variant calls. With MosaiX, you're not choosing between throughput and data quality — you're getting both.

                Independent benchmarking shows MosaiX libraries

                achieve higher coverage uniformity and capture difficult genomic regions that bead-linked Tn5 preparations consistently miss. If your research depends on complete, unbiased representation of the genome, this is the kit that delivers.

                Ligation-Grade Performance. Tagmentation-Level Simplicity.

                Whole Exome Sequencing

                Benchmark-Matched Quality With a Fraction of the Effort

                When evaluated against the gold standard of enzymatic fragmentation followed by ligation, MosaiX-prepared libraries delivered virtually identical exome metrics at 6 Gb sequencing depth. But here’s where it gets interesting: compared to bead-linked Tn5 tagmentation, MosaiX consistently outperformed across the metrics that matter most — lower duplication rates, higher library complexity (as measured by HS Library Size), and fewer zero-coverage targets.

                That last point deserves emphasis. Zero-coverage targets represent gaps in your data — regions you sequenced but couldn’t see. In exome studies, those gaps can mean missed variants in clinically actionable genes. MosaiX closes those gaps.

                50 ng NA12878 genomic DNA (Genome in a Bottle reference) was used across all conditions. Libraries were prepared according to each manufacturer's protocol, captured using Twist Bioscience Exome 2.0 panel with standard workflow, and sequenced on NextSeq 2000. Data were down-sampled to 6 Gb per library and aligned to Twist exome capture targets on hg38.

                TnX finds those missing exome targets!

                Your Tn5 Libraries Might Be Missing Clinically Relevant Exons

                Standard bead-linked tagmentation using conventional Tn5 has a known weakness: insertion site sequence bias. This bias creates systematic blind spots — regions of the genome where the transposase preferentially avoids inserting, resulting in poor or absent coverage.

                In exome sequencing, this isn’t a minor inconvenience. It means clinically relevant targets can fall into coverage gaps, leading to missed variant calls in genes that could inform diagnosis or treatment decisions.

                TnX was engineered specifically to address this limitation. Its reduced insertion bias, combined with the higher molecular complexity of MosaiX libraries, enables access to difficult genomic regions that Tn5-based methods routinely underrepresent.

                The practical outcome: fewer zero-coverage targets, more complete exome representation, and greater confidence in your variant calls.

                Whole Genome Sequencing

                At matched sequencing depth (105 Gb, down-sampled from NovaSeq X+ 25B), MosaiX libraries achieved higher mean coverage than bead-linked Tn5 preparations. Duplication rates were lower. Estimated library size — a direct indicator of molecular complexity — was higher.

                What does this mean in practice?

                You’re extracting more unique, mappable information from every gigabase of sequencing output. For population-scale studies or projects where sequencing cost is a limiting factor, that efficiency translates directly to better data economics.

                Method: 50 ng of NA12878 DNA (Genome in a Bottle) was used in both and libraries were prepared following manufacturers’ user guides. Sequencing was performed on a lane of a NovaSeq X+ 25B flow cell, down-sampled to 105 Gb each, then aligned to hg38.

                Chris Wicky

                Clinical Sales Manager - ANZ
                Country Manager - NZ

                Ready to trial MosaiX in your lab?

                Get in touch with our team — we’ll have pricing and availability to you within 24 hours.

                MosaiX Specifications

                Early Access MosaiX Library Prep Kit Includes:

                TnX Read 1 Tagging Reagent
                5X Reaction Buffer
                Tagmentation Enhancer
                Read 2 Adapter
                DNA Ligase
                2X Amplification Ready Mix
                MAGwise Paramagnetic Beads
                Diluent

                MosaiX Specifications

                FAQs

                MosaiX is optimised for purified genomic DNA from human, plant, or animal sources. Input can range from 1–50 ng, though inputs below 5 ng may require optimisation of adapter concentration and PCR cycles.

                Yes. MosaiX libraries are compatible with all Illumina sequencing platforms. For Element AVITI™ or Complete Genomics systems, use the appropriate Illumina library conversion kit.

                TnX is an engineered transposase with significantly reduced insertion site sequence bias. This results in higher library complexity, lower duplication rates, and better access to difficult genomic regions compared to conventional Tn5-based methods.

                MosaiX is compatible with any tagmentation-compatible indexing primers. Kits include 24 or 96 unique dual index (UDI) primers.

                Absolutely. MosaiX has been validated for whole exome sequencing (WES) and targeted capture panels, with benchmarking data showing improved performance over bead-linked Tn5 methods for these applications.

                Each kit contains: TnX Read 1 Tagging Reagent, 5X Reaction Buffer, Tagmentation Enhancer, Read 2 Adapter, DNA Ligase, 2X Amplification Ready Mix, MAGwise Paramagnetic Beads, and Diluent.

                Do you have a question?

                Our team is one form away.

                We only need below information to serve you better. Decode Science respects your privacy and will never spam you with unrelated content.




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                  Evercode™ Whole Transcriptome v4

                  Introducing Evercode™ Whole Transcriptome v4

                  Evercode™ Whole Transcriptome v4 from Parse Biosciences delivers higher sensitivity single cell transcriptomics with a streamlined, instrument-free workflow built for labs ready to scale.

                  Detect More Biology from Every Cell — Without Adding Instruments to Your Bench

                  Single cell RNA sequencing has transformed how we interrogate complex tissues, immune repertoires, and disease biology — but for many labs, the barriers to entry and scale remain real. Instrument dependencies and low cell recovery have limited what’s practically achievable. Evercode™ Whole Transcriptome v4 addresses these constraints directly. Built on Parse Biosciences’ proven combinatorial barcoding chemistry, v4 enhances transcript and gene detection efficiency across sequencing depths, giving you sharper resolution of rare cell populations and lowly expressed genes without requiring specialised hardware.

                  What makes v4 a meaningful step forward is the combination of improved sensitivity with a redesigned, bead-based workflow. Centrifugation steps have been replaced with magnetic bead clean-up, resulting in up to 75% higher cell retention — a significant gain when working with limited or precious samples. Fewer pipetting steps, greater automation compatibility, and increased confidence at critical handling stages mean your experiments scale more reliably, whether you’re processing a handful of samples or running large cohort studies across conditions and replicates.

                  A History of Innovation.
                  Now Even Greater Sensitivity.

                  Higher Sensitivity, Greater Biological Resolution

                  Improves transcript detection efficiency at every sequencing depth. Clearer identification of rare cell states and detection of genes.

                  Instrument-Free Scalability

                  No capital equipment purchase.
                  No booking time on a shared instrument.
                  Single cell experiments start with a standard cell or nuclei suspension and a set of reagent plates — nothing more.

                  Bead-Based Workflow for Higher Cell Recovery

                  Retaining up to 75% more cells through critical clean-up steps.

                  Built for Automation and Reproducibility

                  Highly compatible with liquid handling systems, supporting consistent results across operators and sites.

                  Watch What the Leaders Have To Say

                  They talk about the problem they are trying to solve for a researcher, how has the feedback received from customers influenced the evolution of Evercode and more....

                  Ebru Boslem, PhD

                  ANZ Market Manager - Research Genomics

                  Our specialist team can advise on experimental design, sample preparation, and sequencing strategy — reach out to me directly and we can discuss your needs.

                  Why It Matters to You

                  1. For Immunology & Oncology Researchers

                  Pair whole transcriptome profiling with Evercode TCR or BCR kits to connect clonotype identity with transcriptional phenotype at single cell resolution.

                  2. For Oncology & Tumour Biology Labs

                  Higher gene detection per cell means better characterisation of malignant subpopulations, stromal interactions, and therapy-resistant states — even in samples with limited cell numbers from biopsies or PDX models.

                  3. For Cardiomyocyte and Complex Tissues Studies

                  Perfect for large cell types which may clog the microfluidic single cell instruments. Parse combinatorial barcoding occurs in plates inside fixed cell eliminating the need for cell suspension flow that can damage & stress cells.

                  4. For Core Facilities & Service Labs

                  v4's automation-ready workflow and consistent performance across operators reduce turnaround times and support diverse project demands without tying up instrument slots.

                  Explore Competitive Comparisons

                  Comparison 1: Evercode™ WT v4 vs. Chromium™ GEM-X Single Cell 3' v4 — Human PBMCs

                  When tested head-to-head using frozen PBMCs from two donors processed in independent labs, Evercode WT v4 demonstrated a clear increase in transcript detection compared to the Chromium GEM-X 3′ platform. Cell type proportions were equivalently represented across both technologies, confirming that Evercode’s combinatorial barcoding approach captures the same biological diversity — with the added advantage of lower ambient RNA contamination and a significant reduction in mitochondrial and ribosomal read content. For labs looking to maximise usable data per read, that’s sequencing budget going directly toward biology rather than noise.

                  Download Tech Note
                  Instantly!


                    Comparison of Evercode™ WT v4 and Chromium™ GEM-X Single Cell 3’ Kit v4 in Human PBMCs

                    Gene Detection. Median genes detected per cell across different sequencing depths for PBMC donor 1 (top) and PBMC donor 2 (bottom). Aliquots derived from the same donor cryovial lot were distributed to separate laboratories for processing with either Evercode WT v4 or Chromium GEM-X 3’ v4 workflows and analyzed using their respective data analysis pipelines.

                    Comparison 2: Evercode™ WT v4 vs. Chromium™ Flex v2 (Apex) — Fixed Human PBMCs

                    In a parallel comparison using fixed PBMCs, Evercode WT v4 retained over four times the number of cells through processing and detected more than 60% higher median transcripts per cell — including diverse RNA biotypes that probe-based approaches can miss entirely. Because Evercode uses an RT-based method rather than predefined probe panels, you’re not limited to a curated gene list; you capture the full transcriptional landscape of each cell. For researchers working with fixed clinical samples or multi-site collections, this means more cells, more genes, and more confidence in what the data is telling you.

                    Download Tech Note
                    Instantly!


                      Detected Transcripts and RNA Biotypes Comparison. Total transcripts detected in human PBMCs across sequencing depths, including protein-coding genes and other RNA biotypes. Other biotypes comprise lncRNA, miRNA, snRNA, snoRNA, miscRNA, pseudogenes, and Ig/TCR genes.

                      Cell Retention & Assay Time. Overall retention rates were calculated by multiplying stepwise retention across all samples, and total assay times were based on vendor recommendations for four PBMC aliquots.

                      Related Products

                      Evercode™ Whole Transcriptome Range

                      Evercode WT Mini — Ideal for pilot studies and labs getting started with single cell. Profile up to 10,000 cells per sample.

                      Evercode WT — The standard configuration for most single cell transcriptomics experiments.

                      Evercode WT Mega — Designed for larger experiments requiring higher cell throughput per run.

                      Evercode WT Penta — Maximum scale for ambitious, multi-sample study designs.

                      Immune Profiling

                      Evercode TCR — Paired T cell receptor sequencing with whole transcriptome at single cell resolution.

                      Evercode BCR — Paired B cell receptor sequencing with whole transcriptome at single cell resolution.

                      Additional Capabilities

                      Evercode Fixation — Fix samples at the point of collection and process later — ideal for clinical workflows and multi-site studies.

                      Gene Select — Targeted gene panels to reduce sequencing costs while retaining biological insight.

                      CRISPR Detect — Single cell readouts for pooled CRISPR screening experiments.

                      Do you have a question?

                      Our team is one form away.

                      We only need below information to serve you better. Decode Science respects your privacy and will never spam you with unrelated content.




                        Antibody EngineeringAquacultureCardiovascularCore FacilityCROsCytogeneticsDrug DiscoveryEarly stage biotechEnzyme EngineeringFood SafetyGermlineHorticulture (plant)ImmunologyInfectious DiseaseLivestockmRNA/RNANeuropathologiesNeuroscienceOncologyOncology Pre ClinicalPhysiologyProtein EngineeringRare DiseaseSoil and EnviromentalStructural BiologySynthetic BiologyTherapeuticsOther

                        You agree to receive communications from Decode Science. View our Privacy Policy

                        NZ Morning & Afternoon Tea in March 2026

                        NZ Morning & Afternoon Tea in March 2026

                        Five cities. One week. BYO coffee and come grab a snack, talk genomics, and meet the team.

                        Dates: 23–27 March 2026

                        We’re bringing the Decode Science team to your doorstep, with morning and afternoon teas where you can chat with us about whatever’s on your bench or in your pipeline.

                        Whether you’re working with CRISPR workflows, gene synthesis, spatial transcriptomics, single-cell, or variant interpretation — or something we haven’t even thought of yet — we’d love to hear about it.

                        Daina, Jessie, and Chris will be covering ground from Dunedin to Auckland, stopping at universities and research institutes along the way. Come say hello, ask questions, share what you’re working on, or just grab a good coffee on us.

                        Synthego logo

                        CRISPR & gene editing (Synthego / Editco)

                        Gene synthesis & cloning workflows (Twist Bioscience)

                        STOmics White Background Logo

                        Spatial transcriptomics / Single Cell (STOmics / Parse Biosciences)

                        Biomarker Detection (Quanterix / Akoya)

                        MGI

                        Sequencing platforms (MGI)

                        Functional cell analysis (Bruker Cellular Analysis)

                        Bioptic

                        Variant interpretation & clinical genomics

                        …or anything else on your mind

                        CLICK THE DATE BELOW TO REGISTER

                        Monday 23 March — Christchurch

                        On Site: Daina & Jessie

                        Morning tea : University of Canterbury

                        Tuesday 24 March — Nelson

                        On Site: Daina & Jessie

                        Afternoon tea : Plant and Food Research – Nelson

                        Wednesday 25 March — Dunedin

                        On Site: Daina, Jessie & Chris

                        Morning tea : University of Otago — South Campus (Pathology)

                        Afternoon tea : University of Otago — North Campus (Biochemistry)

                        Thursday 26 March — Wellington

                        On Site: Daina, Jessie & Chris

                        Afternoon tea : Victoria University of Wellington

                        Friday 27 March — Auckland

                        On Site: Daina, Jessie & Chris

                        Morning tea : University of Auckland — SBS (School of Biological Sciences) – Tea Room

                        MGISTP-B1000

                        MGI STP-B1000

                        The STP-B1000 is designed for laboratories that require accurate, repeatable separation and transfer of blood components without compromising traceability or efficiency. It precisely recognizes plasma, buffy coat, and red blood cells within centrifuged blood collection tubes and transfers each component with high positional accuracy, reducing manual handling and the risk of cross-contamination. Integrated barcode tracking ensures every transfer remains fully traceable, preventing sample mismatches and data integrity issues in high-throughput workflows.

                        Operation is intentionally streamlined… users define only the component type, transfer volume, and number of transfers before initiating the process with a single click. This simplicity minimizes training requirements while delivering consistent, standardized blood processing suitable for clinical, biobanking, and research applications.

                        Accurately Identify Blood Components & efficiently recover the buffy coat

                        Precise Layer Positioning

                        Dual light photography, high-definition camera, built-in self developed image processing

                        Efficient Buffy Coat Recovery

                        Spiral aspirate, 3-axis linkage control & recovery rate of 95% or more

                        Dual Detection Technology

                        Pressure based liquid level detection (pLLD) & capacitive liquid level detection (cLLD)

                        Chris Wicky

                        Clinical Genomics Manager - ANZ & Country Manager - NZ

                        As the official distributor of MGI in Australia and New Zealand, Decode Science is providing local access to STP-B1000 solutions with region-based technical and application support. Simply talk to me and we can discuss your research needs.

                        Product Components & Software Functions

                        Integrated Scanning, Identification, Transferring

                        Download Brochure Instantly!


                          Product Specifications

                          Indicators Parameter
                          Pipettor Pipette Range
                          1 μL–1000 μL
                          Pipette Accuracy
                          1 μL: CV≤8%, accuracy: ±10%
                          50 μL: CV≤1%, accuracy: ±2%
                          200 μL: CV≤1%, accuracy: ±2%
                          1000 μL: CV≤1%, accuracy: ±1%
                          Independent 8-channel Pipettor
                          Detection Mode pLLD, cLLD
                          Throughput 1–192 samples/run
                          Size 1420 mm (L) × 1010 mm (W) (without door handle) × 1120 mm (H)
                          Weight ~250 kg

                          MGI Portfolio

                          Contact Decode Science Today

                          We only need these information to serve you better. Decode Science respects your privacy and will never spam you with unrelated content.




                            Antibody EngineeringAquacultureCardiovascularCore FacilityCROsCytogeneticsDrug DiscoveryEarly stage biotechEnzyme EngineeringFood SafetyGermlineHorticulture (plant)ImmunologyInfectious DiseaseLivestockmRNA/RNANeuropathologiesNeuroscienceOncologyOncology Pre ClinicalPhysiologyProtein EngineeringRare DiseaseSoil and EnviromentalStructural BiologySynthetic BiologyTherapeuticsOther

                            You agree to receive communications from Decode Science. View our Privacy Policy

                            Parse Single Cell Grant – Apply Now

                            Single Cell Grant - Apply Now

                            Submission Deadline Passed:
                            February 20 - 11:59 PM AEST

                            Understanding single-cell biology at the whole-transcriptome level is critical for mechanistic insight in cancer and complex biology. Generating robust proof-of-concept data ahead of a grant cycle or biotech pitch can be the difference between progress and delay.

                            Decode Science, in partnership with Parse Biosciences, is offering a Parse Single-Cell Grant to support researchers across Australia and New Zealand.

                            What the Grant Supports

                            Successful applicants will receive support to assay up to 100,000 single cells across 12 samples, including sequencing.

                            Parse Biosciences’ Evercode™ technology enables scalable single‑cell RNA sequencing with high transcript capture—without specialised hardware—making it suitable for both new and established single‑cell labs.

                            What's Included

                            1. Parse Evercode™ WT single‑cell kit (up to 100,000 cells) & one cell or nuclei fixation kit for up to 12 samples

                            2. Sequencing included

                              1. 20,000 reads per cell

                              2. Sequencing costs covered by Decode Science and SAGC

                            3. Application and experimental feasibility review by Parse Application Support

                            Application Requirements

                            Applicants must submit an abstract (maximum 300 words) outlining:

                            1. Experimental objectives

                            2. Sample type and number

                            3. Expected cell count per sample

                            4. Plans for scale‑up and projected throughput

                            Key Dates

                            1. Abstract submission deadline: 20 February 2026

                            2. Internal application review: 20 February – 6 March 2026

                            3. Winner + 5 consolation prizes announced: 9 March 2026

                            4. Orders to be placed by: 25 March 2026

                            5. Kit delivery completed by: 10 June 2026

                            Ebru Boslem

                            ANZ Market Manager

                            If you have questions or would like guidance on suitability or the application process, please reach out to me directly.