<?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>agshaas.r-universe.dev</title><link>https://agshaas.r-universe.dev</link><description>Recent package updates in agshaas</description><generator>R-universe</generator><image><url>https://github.com/agshaas.png</url><title>R packages by agshaas</title><link>https://agshaas.r-universe.dev</link></image><lastBuildDate>Mon, 26 Oct 2026 06:24:38 GMT</lastBuildDate><item><title>[agshaas] BPCells 0.3.1</title><author>bparks@alumni.stanford.edu (Benjamin Parks)</author><description>&gt; Efficient operations for single cell ATAC-seq fragments
and RNA counts matrices. Interoperable with standard file
formats, and introduces efficient bit-packed formats that allow
large storage savings and increased read speeds.</description><link>https://github.com/r-universe/agshaas/actions/runs/40281820965</link><pubDate>Mon, 26 Oct 2026 06:24:38 GMT</pubDate><r:package>BPCells</r:package><r:version>0.3.1</r:version><r:status>success</r:status><r:repository>https://agshaas.r-universe.dev</r:repository><r:upstream>https://github.com/bnprks/BPCells</r:upstream></item><item><title>[agshaas] PICtR 1.0.2</title><author>viktoria.flore@bih-charite.de (Viktoria Flore)</author><description>This is the computational workflow to analyse physically
interacting cells (PICs) in flow cytometry data using R.</description><link>https://github.com/r-universe/agshaas/actions/runs/38711029786</link><pubDate>Mon, 18 May 2026 14:34:21 GMT</pubDate><r:package>PICtR</r:package><r:version>1.0.2</r:version><r:status>success</r:status><r:repository>https://agshaas.r-universe.dev</r:repository><r:upstream>https://github.com/agSHaas/PICtR</r:upstream><r:article><r:source>PICtR.Rmd</r:source><r:filename>PICtR.html</r:filename><r:title>PICtR: Physically Interacting Cell toolkit for R</r:title><r:created>2024-10-15 10:03:53</r:created><r:modified>2025-09-02 13:35:03</r:modified></r:article></item><item><title>[agshaas] Spectre 1.3.0</title><author>thomas.ashhurst@sydney.edu.au (Thomas Ashhurst)</author><description>A computational toolkit in R for the integration,
exploration, and analysis of high-dimensional single-cell
cytometry and imaging data.</description><link>https://github.com/r-universe/agshaas/actions/runs/37209906311</link><pubDate>Fri, 19 Sep 2025 00:41:01 GMT</pubDate><r:package>Spectre</r:package><r:version>1.3.0</r:version><r:status>success</r:status><r:repository>https://agshaas.r-universe.dev</r:repository><r:upstream>https://github.com/immunedynamics/spectre</r:upstream></item></channel></rss>