<?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>ckntav.r-universe.dev</title><link>https://ckntav.r-universe.dev</link><description>Recent package updates in ckntav</description><generator>R-universe</generator><image><url>https://github.com/ckntav.png</url><title>R packages by ckntav</title><link>https://ckntav.r-universe.dev</link></image><lastBuildDate>Thu, 28 May 2026 18:50:07 GMT</lastBuildDate><item><title>[bioc] gVenn 1.3.2</title><author>christophe.tav@gmail.com (Christophe Tav)</author><description>Tools to compute and visualize overlaps between gene sets
or genomic regions. Venn diagrams with proportional areas are
provided, while UpSet plots are recommended for larger numbers
of sets. The package supports GRanges and GRangesList inputs,
and integrates with analysis workflows for ChIP-seq, ATAC-seq,
and other genomic interval data. It generates clean,
interpretable, and publication-ready figures.</description><link>https://github.com/r-universe/bioc/actions/runs/26606190251</link><pubDate>Thu, 28 May 2026 18:50:07 GMT</pubDate><r:package>gVenn</r:package><r:version>1.3.2</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/gVenn</r:upstream><r:article><r:source>gVenn.Rmd</r:source><r:filename>gVenn.html</r:filename><r:title>gVenn: Proportional Venn diagrams for genomic regions and gene set overlaps</r:title><r:created>2025-08-25 13:28:48</r:created><r:modified>2025-10-29 15:10:13</r:modified></r:article></item><item><title>[ckntav] rChEA3 1.0.1</title><author>christophe.tav@gmail.com (Christophe Tav)</author><description>Interface to the 'ChEA3' transcription factor enrichment
API. 'ChEA3' integrates evidence from ChIP-seq, co-expression,
and literature resources to prioritize transcription factors
regulating a given set of genes. This package provides
convenient R functions to query the API, retrieve ranked
results across collections (including integrated scores), and
standardize output for downstream analysis in R/Bioconductor
workflows. See &lt;https://maayanlab.cloud/chea3/&gt; or Keenan
(2019) &lt;doi:10.1093/nar/gkz446&gt; for further details.</description><link>https://github.com/r-universe/ckntav/actions/runs/28669195342</link><pubDate>Thu, 28 May 2026 04:39:02 GMT</pubDate><r:package>rChEA3</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://ckntav.r-universe.dev</r:repository><r:upstream>https://github.com/ckntav/rchea3</r:upstream><r:article><r:source>rChEA3.Rmd</r:source><r:filename>rChEA3.html</r:filename><r:title>rChEA3: An R client for ChEA3 transcription factor enrichment API</r:title><r:created>2025-09-19 20:21:05</r:created><r:modified>2026-05-28 04:22:06</r:modified></r:article></item></channel></rss>