<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>genecell.r-universe.dev</title><link>https://genecell.r-universe.dev</link><description>Recent package updates in genecell</description><generator>R-universe</generator><image><url>https://github.com/genecell.png</url><title>R packages by genecell</title><link>https://genecell.r-universe.dev</link></image><lastBuildDate>Tue, 29 Sep 2026 01:48:15 GMT</lastBuildDate><item><title>[genecell] cytome 0.1.3</title><author>dai@broadinstitute.org (Min Dai)</author><description>Reads .cytome files - a SQLite-backed single-cell store -
natively in R with zero Python dependency. A .cytome is a plain
SQLite database, so the structural data (cells / genes / peaks,
embeddings, graphs, fragments) is read with DBI; the chunked,
compressed CSR count matrices are decoded via a small Rcpp
layer (lz4-block / zstd / zlib). Constructs a
SingleCellExperiment or a Seurat object, and provides
cytome-native chunk streaming for out-of-core analysis without
loading the full matrix. Part of the PIASO toolkit for
single-cell omics (&lt;https://piaso.org&gt;).</description><link>https://github.com/r-universe/genecell/actions/runs/36511019090</link><pubDate>Tue, 29 Sep 2026 01:48:15 GMT</pubDate><r:package>cytome</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://genecell.r-universe.dev</r:repository><r:upstream>https://github.com/genecell/cytome-r</r:upstream></item><item><title>[genecell] COSG 1.0.0</title><author>daimin@zju.edu.cn (Min Dai)</author><description>COSG is designed for accurate and ultra-fast marker gene
identification in single-cell sequencing data. COSG can not
only be applied to single-cell RNA-seq data, but also
single-cell ATAC-seq data and spatial transcriptomics.</description><link>https://github.com/r-universe/genecell/actions/runs/38540390451</link><pubDate>Tue, 25 Aug 2026 16:20:50 GMT</pubDate><r:package>COSG</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://genecell.r-universe.dev</r:repository><r:upstream>https://github.com/genecell/COSGR</r:upstream></item></channel></rss>