<?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>akbariomgba.r-universe.dev</title><link>https://akbariomgba.r-universe.dev</link><description>Recent package updates in akbariomgba</description><generator>R-universe</generator><image><url>https://github.com/akbariomgba.png</url><title>R packages by akbariomgba</title><link>https://akbariomgba.r-universe.dev</link></image><lastBuildDate>Tue, 28 Apr 2026 13:05:03 GMT</lastBuildDate><item><title>[bioc] crupR 1.5.0</title><author>omgba@molgen.mpg.de (Persia Akbari Omgba)</author><description>An R package that offers a workflow to predict
condition-specific enhancers from ChIP-seq data. The prediction
of regulatory units is done in four main steps: Step 1 - the
normalization of the ChIP-seq counts. Step 2 - the prediction
of active enhancers binwise on the whole genome. Step 3 - the
condition-specific clustering of the putative active enhancers.
Step 4 - the detection of possible target genes of the
condition-specific clusters using RNA-seq counts.</description><link>https://github.com/r-universe/bioc/actions/runs/37765268789</link><pubDate>Tue, 28 Apr 2026 13:05:03 GMT</pubDate><r:package>crupR</r:package><r:version>1.5.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/crupR</r:upstream><r:article><r:source>crupR-vignette.Rmd</r:source><r:filename>crupR-vignette.html</r:filename><r:title>crupR Vignette</r:title><r:created>2022-03-01 11:27:42</r:created><r:modified>2025-07-31 18:46:59</r:modified></r:article></item></channel></rss>