🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
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Updated
May 29, 2024 - C++
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
Pipeline for initial analysis of droplet-based single-cell RNA-seq data
Bayesian MCMC matrix factorization algorithm
A suite of population scale analysis tools for single-cell genomics data including implementation of Demuxlet / Freemuxlet methods and auxilary tools
An analytics package for single cell data
An R implementation of the Gene Frequency - Inverse Cell Frequency method for single cell data normalization
Drug Response Estimation from single-cell Expression Profiles
(NOTE: This is a development fork, please refer to official repo at statgen: https://github.com/statgen/popscle) Freemuxlet methods and auxilary tools
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