Swift Accel-NGS® Methyl-Seq DNA Library Kit
The Accel-NGS Methyl-Seq DNA Library prep utilises Adaptase® technology for capturing single-stranded DNA molecules in an unbiased manner. As bisulfite treatment of samples damages DNA, Swift Biosciences’ single-strand compatible Adaptase technology maximises recovery of DNA from bisulfite-converted samples. The resultant libraries accurately represent sample base composition of the entire genome for the analysed organism.
The technology has quickly become the gold standard for providing the most comprehensive coverage of the methylome. It is an excellent choice for whole genome bisulfite sequencing as well as targeted bisulfite sequencing applications, such as RRBS and hybridisation capture using the NimbleGen™ SeqCap™ Epi Enrichment Sysem.
The Accel-NGS Methyl-Seq Kit is also compatible with bisulfite-converted DNA samples enriched by ChIP or other methods. This library preparation technology contains a uracil tolerant polymerase, which is ideal for sequencing ancient DNA samples that may contain uracil nucleotides as a result of damage.
Single Cell WGBS
The Accel-NGS Adaptase Module constructs NGS libraries from bisulfite-converted DNA from single cells. The Adaptase Module maximises the recovery of low concentrations of single stranded DNA and libraries consistently exhibit superior complexity with reduced composition bias to provide a more faithful representation of the methylome. Using the in-line barcoding option, cells can be multiplexed to increase throughput and further reduce library prep costs.
The Adaptase Module can be used for many applications, such as cataloging cell populations within heterogeneous tissues, assessing normal tissue for regulation of cellular mechanisms (e.g., differentiation), gaining insight into epigenetic alterations in disease states, and exploring across species to identify evolutionary conservation of epigenomic regulation.
- High mapping rate
- >400 bp library insert size improves data output
- Workflow uses a single random priming cycle
- Greater data output per run and reduced sequencing cost
- Scalable cell and library indexing options for high throughput sequencing
- Easier low bias workflow