Подтвердите e-mail

Для публикаций, комментариев, реакций и сообщений подтвердите адрес.

Публикация

Предыдущая публикация

We also show that we can reproduce the results of CellRanger at a fraction of the resource cost. Our concordance is above 99.85% as measured via Spearman on matched cell UMIs and our lower-dimensional representations show perfect overlap with no method specific clustering.

100

cyto is the first large-scale bioinformatics project to build with BINSEQ. Switching to BINSEQ can achieve mapping rates of 50M reads per second reduce your storage requirements by about 40%. github.com/ArcInstitute...

GitHub - ArcInstitute/binseq: A high efficiency binary format for sequencing dataA high efficiency binary format for sequencing data - ArcInstitute/binseqgithub.com
Обсуждение

2 прямых ответов

cyto is free, open-source, and production-ready. Built in Rust for reliability at scale. Currently supports 10x Flex GEX and CRISPR, with more modalities coming. Try it out and let us know how it works for you! github.com/ArcInstitute...

GitHub - ArcInstitute/cyto: A mapper for single cell sequencing reads with abstract geometriesA mapper for single cell sequencing reads with abstract geometries - ArcInstitute/cytogithub.com

50M reads/sec with 40% storage reduction is impressive! Storage and I/O bottlenecks are real pain points for large-scale sequencing projects. Great to see Arc Institute tackling this.