Phytoform Labs harnessed its AI-powered CRE.AI.TIVE platform to develop climate-resilient crops, with a focus on drought-tolerant tomatoes. By rapidly exploring millions of potential sequence edits, the platform identified 2,000 high-potential candidates for wet-lab validation.
To overcome the challenge of synthesizing complex, AT-rich sequences with homopolymers, the team partnered with Twist Bioscience. Twist’s high-fidelity oligos ensured accurate transfer of AI-designed sequences to the lab, enabling efficient MPRA screening in tomato protoplasts.
This AI-guided workflow validated predictions while streamlining experiments—reducing waste, saving resources, and ensuring only the most promising variants progressed to in vivo testing.
Case Study Highlights
AI-driven design of millions of sequence variants
Efficient identification of high-impact edits, conserving time and resources
Ensuring fidelity of AI-generated oligos for complex plant sequences
Insights on impact and future directions

Country Manager - NZ
This technical note outlines an alternative workflow for generating 10–15 kb HiFi reads from high-quality genomic DNA using the LongPlex Long Fragment Multiplexing Kit. In this approach, LongPlex is used to fragment and barcode samples, and PacBio’s Short Read Eliminator (SRE) is applied to size-select fragments >10 kb before SMRTbell® library preparation.
LongPlex uses plate-based transposase tagmentation for multiplexed fragmentation and barcoding, removing the need for mechanical shearing and allowing barcoded samples to be pooled before SMRTbell prep. This simplifies the workflow, increases throughput, and lowers library prep costs.
The standard LongPlex protocol generates 6–9 kb HiFi reads from high- to medium-quality DNA—ideal for microbial and other small-genome projects. However, users working with higher-quality DNA may want longer HiFi reads to maximize gigabase yield on PacBio systems.
This modified workflow is only suitable for high-quality DNA (Femto Pulse GQN30kb ≥7). Using degraded DNA will result in substantial sample loss during SRE size selection.

Country Manager - NZ
Make Site-Directed Mutagenesis precise, simple, and affordable with Twist’s Mutagenesis by Synthesis. Traditional site-directed mutagenesis can be time consuming and imprecise. Site directed mutagenesis through synthesis eliminates these complexities, providing you with precisely engineered sequences tailored to your exact specifications. From protein engineering to functional genomics, incorporate precision synthesis of mutants into your workflow and focus on achieving your research goals
Why it matters to you:
Precision engineering –
site-directed mutagenesis, custom DNA
Flexible design –
protein engineering, functional genomics
Fast turnaround –
Express Clonal Genes, rapid synthesis
Cost-effective –
affordable variants, scalable synthesis
Product: Clonal Genes
Number of mutation per genes: No Limit
Mutation type: any number of point mutation,
deletions, and/or insertions*
Pricing: Discounts on every variant
(Please kindly contact your Decode Sales Rep for enquiry)
Terms and Conditions
* This promo is only available to customers in the Asia Pacific region (excluding China and Japan). Pricing is subjected to changes.
* To enjoy the special service of site directed mutagenesis, please quote your previous order number or approach Decode Science support.
* Each mutation is defined as any combination of bases change within a 10 codon spread over the entire gene.
* Average turnaround time for Express Clonal Genes is 4 -7 business days. This time will vary based on complexity and length of the sequence. Orders placed outside of the US will incur additional delivery turnaround time. Turnaround time for Clonal Genes is subject to change based on customizations and complexity. Additional specification: 50ng – 2 ug.
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Business Development Manager

Raise confidence in variant detection with superior target enrichment solutions

Precision, uniformity, and flexibility for results you can trust

Synthetic RNA and DNA standards for assay development

Identify more hits and streamline screening with Twist's precise Variant Libraries
Comparison Highlights
Study Overview
Two embryonic mouse brains were sagittally dissected and flash-frozen by a third-party vendor.
One half from each brain was processed by a 10x Genomics certified provider for nuclei isolation and library preparation, while the other halves were processed by Parse Biosciences using their own workflow.
Sequencing was performed by a third-party, and data analysis was completed using each manufacturer’s respective pipeline.

ANZ Market Manager - Research Genomics
EditCo Bio’s XDel technology eliminates the need for guide RNA pre-screening, using a coordinated multi-gRNA design that delivers consistently high on-target editing across immortalized, primary, and iPSC lines. Validated through 768 edited samples and 4,816 NGS libraries, XDel achieves robust knockout efficiency while minimizing off-target effects—saving time and improving reproducibility across diverse cell types.
Validated performance. Proven precision.
With a standardized amplicon sequencing QC workflow and high-throughput automation, XDel enables scalable, high-confidence Cas9-mediated editing for both pooled and single-cell clone analysis. Download the full guide to explore the data, workflows, and results behind EditCo Bio’s high-efficiency gene knockout strategy.

Business Development Manager
Our STOmics validated tissue list provides researchers with a comprehensive reference of hundreds of tissue types successfully tested using Stereo-seq, the cutting-edge spatial transcriptomics technology. Each tissue entry includes detailed sample information, experimental parameters, and test results, allowing scientists to make informed decisions before starting their single-cell or spatial transcriptomics experiments. By consulting this list, you can ensure compatibility with your tissue samples and streamline your experimental design.
The list not only highlights tissue types that have been validated but also provides insights into the experimental conditions that yielded the most reliable results. Researchers can leverage this information to optimize sample preparation, sequencing protocols, and data quality control measures. This reduces trial-and-error, saves valuable time and resources, and ensures reproducibility across studies. It is an essential tool for anyone planning to use Stereo-seq for spatial gene expression profiling.
In addition, our STOmics validated tissue list supports better planning for large-scale studies and comparative analyses. By providing a centralized reference for tissue performance, it helps guide tissue selection, anticipate potential challenges, and maximize experimental success. Whether you are exploring new tissue types or scaling up existing workflows, this validated tissue list is your key resource for robust, high-quality spatial transcriptomics research.
Notices:
The STOmics validated tissue list was generated using standard tissue and sample types, all of which are frozen. Each tissue sample had an area of less than 1 cm² and was sectioned at a thickness of 10 μm. Most experiments were performed using the Stereo-seq Transcriptomics Kit V1.2, with a few using V1.1. Sequencing depth ranged from 1–3 G reads per sample, and data were processed using the Stereo-seq Analysis Workflow (SAW) versions V2.1.0–V5.1.3. Testing was conducted between 2020 and 2022.
Please note that all test parameters and results are highly dependent on the tissue and sample type. This information should be used as a reference guide to help design and optimize your own experiments, rather than as definitive outcomes for all samples.
Key parameters included in the list:
MID (K): Bin200_Median_MID in thousands
GENETYPE (K): Bin200_Median_Genetype in thousands

ANZ Market Manager - Research Genomics
Key Takeaways
Analyze 10 million cells across 1,152 samples in a single experiment
Increase statistical power by profiling more cells per sample
Capture detailed cellular responses to perturbations and drug treatments
Figure 1: Experimental Design Overview
Approximately 10 million PBMCs from 12 healthy donors were treated with 90 different cytokines in a single GigaLab experiment, covering 1,092 experimental conditions.
Cells were thawed, washed, and seeded at 1 million cells per well across 12 plates. After 24-hour cytokine treatment, cells were fixed, barcoded, and processed for whole transcriptome sequencing. Libraries were sequenced on the Ultima Genomics platform, achieving ~31,000 reads per cell, with 62.45% cell retention after barcoding.
After data processing with the Parse Analysis Pipeline v1.4.0, integration, and classification, 9,697,974 cells across 18 immune cell types were identified—including rare populations that are typically missed in smaller experiments. Each condition yielded a median of 7,400 cells, enabling high-resolution analysis of immune responses.
Differential expression analysis identified how cytokines influenced gene activity across cell types. Many cytokines triggered strong transcriptional responses, with over 50 genes upregulated per treatment.
Figure 2: Single-Cell UMAP Overview
9,697,974 PBMCs from 12 donors were integrated with Harmony, clustered using Scanpy, and manually annotated, revealing 18 immune cell types present across all donors and experimental conditions.
Figure 3: Cytokine-Induced Gene Changes
A heatmap summarizes the averaged number of genes significantly upregulated (log fold change >0.3, p <0.001) for each cell type and cytokine, highlighting which immune cells respond most strongly to specific cytokine treatments.
Parse 10M PBMC Cytokines Clustering Tutorial
Joey Pangallo, Efi Papalexi – Parse Biosciences, Seattle, WA
Step-by-step example of analyzing 10 million PBMCs treated with cytokines using the Evercode workflow. Covers data loading, preprocessing, Leiden clustering, and generating UMAP plots with Scanpy.
Parse 10M PBMC Cytokines Clustering Tutorial (Downsampled)
Joey Pangallo, Efi Papalexi – Parse Biosciences, Seattle, WA
Same workflow as above, starting with a downsampled dataset of 1 million cells. Ideal for quicker exploration or limited CPU memory setups.
scCODA Parse 10M PBMC Cytokines
Artur Szałata, Dominik Klein, Soeren Becker, Fabian Theis – Helmholtz-Munich
Demonstrates analysis of cell proportion changes across 10 million PBMCs. Shows how using the full dataset improves statistical significance of perturbation effects. Based on scCODA, a Bayesian model for compositional single-cell data analysis (Nat Commun 12, 6876, 2021).
Parse 10M PBMC Cytokines Dask Workflow
Artur Szałata, Dominik Klein, Soeren Becker, Fabian Theis – Helmholtz-Munich
Walks through preprocessing the 10M cell dataset using Dask. Loads data chunk-wise to reduce memory use and demonstrates highly variable gene selection for downstream analysis.
Dataset License: CC BY-NC 4.0 (non-commercial use). Commercial licensing inquiries: support@parsebiosciences.com

ANZ Market Manager - Research Genomics
T7+ is an integrated ultra-high-throughput sequencing platform built for labs that demand speed, accuracy, and scale. Leveraging MGI’s DNBSEQ™ Technology and SM2.0 biochemistry, it delivers over 14Tb of high-quality sequencing data in 24 hours, making large-scale genomics projects—from population studies to clinical pipelines—both feasible and efficient. Its 7-in-1 modular design automates the entire workflow, reducing hands-on time and minimizing potential errors.
Beyond sheer performance, T7+ is engineered with clinical relevance in mind. Its capacity for up to 35,000 whole-genome sequences annually ensures that your lab can meet high-throughput demands without compromising turnaround times. This efficiency directly translates to faster research insights, improved diagnostic workflows, and smoother integration into daily lab operations, helping you focus on what matters most: accurate, actionable genomic data.
Learn more about how each feature works as you scroll.
Every hour matters when precision, speed, and reliability determine outcomes. T7+ addresses these challenges by combining ultra-high throughput, rapid turnaround, and intelligent automation, so you can focus on results rather than processes.

The proprietary TDI camera and high-density flow cells deliver over 14 Tb of high-quality data in 24 hours, supporting up to 35,000 whole-genome sequences per year. Large-scale projects can now be completed without bottlenecks.

The 7-in-1 workflow integrates DNB preparation, loading, sequencing, waste management, data analysis, and compression. This reduces hands-on time, minimizes errors, and produces ready-to-analyze FASTQ files with Q40 >90%.

Clinical Genomics Manager - ANZ & Country Manager - NZ

Minimalist design, adjustable screen angles, and the Omni-smart hub guide operations with ease, making daily sequencing as simple as interacting with a smartphone.

Built-in lossless data compression reduces storage and bandwidth needs by up to 5× without compromising accuracy. Intelligent checkpointing ensures sequencing resumes seamlessly after interruptions.

T7+ supports WGS, spatio-temporal omics, cell-omics, proteomics, epigenomics, transcriptomics, and more, making it adaptable to evolving research and operational needs.

MGISP-960 has validated lots of library kits including WES/WGS/RNA and...

Highly integrated technology platform which uniquely uses digital microfluidic...

A sequencing run starts with the hybridization of a DNA anchor, then ...
A TDI (Time Delay and Integration) camera is a high-performance imaging system used in MGI’s T20×2 ultra-high throughput sequencer to capture fluorescence signals with exceptional sensitivity and speed. Unlike conventional cameras that take static images, a TDI camera continuously scans across the sequencing slide, synchronizing image acquisition with sample movement. This technique integrates multiple exposures of the same area over time, significantly boosting signal strength and reducing noise. In the T20*, the TDI line-scan cameras work alongside a liquid-immersion optical lens and a large field-of-view objective to capture more fluorescence data per unit time with higher resolution. The result is faster, more accurate base identification and greater sequencing throughput — a cornerstone technology enabling MGI’s record-breaking data generation efficiency.
DNBSEQ is MGI’s proprietary sequencing platform based on DNA Nanoball (DNB) technology. Instead of traditional bridge amplification used by other platforms, DNBSEQ amplifies DNA fragments through rolling circle replication, creating dense, uniform DNA nanoballs that are then arrayed on a patterned flow cell. This approach eliminates amplification errors, reduces duplication rates, and enhances signal precision. Combined with MGI’s two-color fluorescence detection and advanced imaging systems, DNBSEQ delivers high-throughput, low-cost, and highly accurate sequencing results. The platform supports a wide range of applications—from whole genome and single-cell sequencing to metagenomics and oncology research—while offering superior data consistency and scalability compared to conventional NGS systems.
Standard MPS 2.0 (SM 2.0) is MGI’s next-generation sequencing chemistry designed to significantly enhance the accuracy and performance of its DNBSEQ™ platforms. By refining enzyme systems, optimizing fluorescent dyes, and improving data interpretation algorithms, SM 2.0 delivers exceptional sequencing quality—achieving over 85% of bases at Q40, or 99.99% base-calling accuracy. These advancements reduce noise, improve signal clarity, and minimize bias from upstream preparation. As a result, researchers gain higher confidence in detecting low-frequency mutations, SNPs, and InDels across applications such as whole genome sequencing, single-cell studies, and microbiome analysis. In essence, SM 2.0 sets a new industry standard for precision, reliability, and data quality in high-throughput sequencing.
T7+ features checkpoint resume technology and proactive fault detection, allowing sequencing to continue without data loss once power or system issues are resolved.
The 7-in-1 integrated workflow minimizes manual intervention—preparation and monitoring are streamlined, so staff can focus on data analysis rather than instrument operation.
Yes. The modular QUAD-Flow Cell system allows independent runs, supporting both small batches and large-scale sequencing without compromising speed or accuracy.
The platform is designed to fit seamlessly into existing operations, with smart guidance, automated data processing, and flexible output formats that simplify downstream analysis.
The DNBSEQ-T1+ is one of the fastest T-level benchtop sequencers available globally—built on MGI’s proven DNBSEQ™ technology for accuracy, scalability, and reliability. Designed for clinical and translational genomics labs, the T1+ supports dual flow cell operation, delivering up to 1.2 terabases (Tb) of sequencing data within 24 hours (600 Gb per flow cell).
For laboratories managing time-sensitive or high-volume projects, this means faster turnaround, improved workflow efficiency, and reduced dependence on external bioinformatics infrastructure. The optional integrated bioinformatics module enables automated secondary analysis immediately after sequencing, helping clinicians and molecular pathologists move from raw data to interpretable results without delay.
In practice, DNBSEQ-T1+ helps streamline comprehensive genomic profiling (CGP), oncology testing, and clinical research pipelines—supporting both diagnostic accuracy and operational consistency across runs.
Generate up to 1.2 Tb of data in a single run with dual flow cell operation.
Choose from FCL, FCM, or FCS flow cells to match your throughput needs—from small clinical batches to large oncology cohorts.
Maintain >93% Q30 and >90% Q40 base quality across read lengths up to PE150.
Complete full runs in as little as 7–24 hours, supporting faster reporting and clinical turnaround.
Flexible read lengths (SE50–PE300) suit NIPT, RNA-Seq, oncology panels, WES, WGS, and methylation studies.
Supports coverage depth from 1 Gb to 120 Gb per sample, enabling both targeted assays and whole-genome workflows.
Ideal for translational and precision medicine—from pathogen detection to tumour profiling.
DNB M&L (Make & Load) module automates DNB preparation and loading directly within the sequencer.
Delivers consistent, contamination-free results with minimal hands-on time.
Each flow cell operates independently, supporting different read lengths or applications in parallel.
Enables an end-to-end “Make–Sequence–Analyse” workflow that saves time and reduces error.
Available in two setups: DNBSEQ-T1+ RS (flexible throughput) and T1+ ARS (with built-in bioinformatics).
The ARS configuration automatically triggers advanced data analysis post-run, streamlining bioinformatics pipelines.
Simplifies data interpretation for clinicians and molecular pathologists, improving workflow efficiency and diagnostic accuracy.

Clinical Genomics Manager - ANZ & Country Manager - NZ

Integrated 8 channel pipettes, it processes samples in batches, eliminates...

Highly integrated technology platform which uniquely uses digital microfluidic...

Supporting oncology panel, WGS, WES, WGBS, multi-omics sequencing and...
The T1+ integrates seamlessly into oncology and comprehensive genomic profiling (CGP) pipelines, providing the depth and coverage needed for both solid tumour and liquid biopsy applications. With PE150 read lengths and up to 1.2 Tb per run, it supports multi-sample batching without compromising turnaround time.
Across all flow cell types, >93% of bases exceed Q30 and >90% exceed Q40, ensuring high-confidence variant detection for SNVs, indels, CNVs, and fusions. This level of consistency reduces the need for re-runs and strengthens the reliability of reported results.
Depending on the mode, runs complete within 7–24 hours, with automated secondary analysis available immediately post-run on the T1+ ARS configuration. This supports faster clinical reporting and improved patient turnaround.
The DNB Make & Load module automates DNB preparation within the sequencer, reducing manual steps, contamination risk, and hands-on time. Most labs can run end-to-end sequencing with minimal intervention after library prep.
Yes. Each flow cell operates independently, allowing different read lengths or applications—for example, running oncology panels alongside RNA-Seq or WES on the same instrument without downtime.
PRODUCTS
Twist Bioscience helps researchers speed up antibody discovery with Express Antibody Production using CHO and HEK293 expression systems. Our high-throughput antibody production platform can generate anywhere from dozens to thousands of antibodies, enabling efficient antibody screening for binding specificity and biophysical properties.
By leveraging Twist’s end-to-end gene-to-protein workflow, you can eliminate common antibody production bottlenecks—saving valuable time and research costs. Starting with Twist Express Genes ensures faster production times and antibodies built entirely from your custom gene sequences.
Key Features
CHO Express Antibodies
HEK293 Express Antibodies
Design antibodies with optimal binding affinity, specificity, and reduced immunogenicity.
Rapid, sequence-perfect DNA synthesis accelerates your antibody development timeline.
From small-scale studies to large-scale drug discovery, scale antibody production with ease.
Access the latest gene synthesis innovations without high costs.
Get 24/7 guidance from antibody design to submission.
Wyatt McDonnell
CEO & Founding Scientist • Infinnimune
Dr. Ahuva Nissim
Professor in Antibody and Therapeutic Engineering • Queen Mary University of London
Pierre Martineau
Deputy Director, Cancer Research Institute of Montpellier • Founder and Scientific Advisor, iMAb
Get a call from your local Decode Science representative to help you find the best fit genomics products for you.
Or give us a call at:
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