<?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>cparsania.r-universe.dev</title><link>https://cparsania.r-universe.dev</link><description>Recent package updates in cparsania</description><generator>R-universe</generator><image><url>https://github.com/cparsania.png</url><title>R packages by cparsania</title><link>https://cparsania.r-universe.dev</link></image><lastBuildDate>Tue, 13 Oct 2026 04:12:14 GMT</lastBuildDate><item><title>[biocstaging] BamScaleR 0.99.2</title><author>chirag.parsania@gmail.com (Chirag Parsania)</author><description>Multithreaded sequential BAM processing built on top of
the ompBAM C++ engine. BamScaleR provides user-friendly BAM
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the ompBAM C++ engine. BamScale provides user-friendly BAM read
and scan interfaces designed for compatibility with existing
Bioconductor workflows.</description><link>https://github.com/r-universe/bioc/actions/runs/38724011844</link><pubDate>Thu, 13 Aug 2026 04:50:17 GMT</pubDate><r:package>BamScale</r:package><r:version>0.99.14</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/BamScale</r:upstream><r:article><r:source>benchmark-results.Rmd</r:source><r:filename>benchmark-results.html</r:filename><r:title>Benchmarking BamScale: reader throughput and end-to-end workflow impact</r:title><r:created>2026-04-20 06:18:30</r:created><r:modified>2026-08-12 04:52:09</r:modified></r:article><r:article><r:source>BamScale-intro.Rmd</r:source><r:filename>BamScale-intro.html</r:filename><r:title>Getting started with BamScale</r:title><r:created>2026-04-20 06:18:30</r:created><r:modified>2026-05-04 05:29:45</r:modified></r:article></item><item><title>[bioc] VISTA 1.1.5</title><author>chirag.parsania@gmail.com (Chirag Parsania)</author><description>The VISTA (Visualization and Integrated System for
Transcriptomic Analysis) platform streamlines differential
expression workflows by wrapping DESeq2 and edgeR into a
SummarizedExperiment-based container with consistent metadata.
The package includes visualization utilities, MSigDB enrichment
helpers, and optional deconvolution support to simplify
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'IRanges' and 'GenomicRanges'. The package provides
deterministic multithreaded overlap computation, reusable
subject indexes for repeated queries, and join helpers that
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