<?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>fgeier.r-universe.dev</title><link>https://fgeier.r-universe.dev</link><description>Recent package updates in fgeier</description><generator>R-universe</generator><image><url>https://github.com/fgeier.png</url><title>R packages by fgeier</title><link>https://fgeier.r-universe.dev</link></image><lastBuildDate>Tue, 28 Apr 2026 12:37:31 GMT</lastBuildDate><item><title>[bioc] JohnsonKinaseData 1.9.0</title><author>florian.geier@unibas.ch (Florian Geier)</author><description>The packages provides position specific weight matrices
(PWMs) for 303 human serine/threonine and 93 tyrosine kinases
originally published in Johnson et al. 2023
(doi:10.1038/s41586-022-05575-3) and Yaron-Barir et al. 2024
(doi:10.1038/s41586-024-07407-y). The package includes basic
functionality to score user provided phosphosites. It also
includes pre-computed PWM scores (&quot;background scores&quot;) for a
large collection of curated human phosphosites which can be
used to rank PWM scores relative to the background scores
(&quot;percentile rank&quot;).</description><link>https://github.com/r-universe/bioc/actions/runs/38045778810</link><pubDate>Tue, 28 Apr 2026 12:37:31 GMT</pubDate><r:package>JohnsonKinaseData</r:package><r:version>1.9.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/JohnsonKinaseData</r:upstream><r:article><r:source>JohnsonKinaseData.Rmd</r:source><r:filename>JohnsonKinaseData.html</r:filename><r:title>Using JohnsonKinaseData to predict kinase-substrate relationships</r:title><r:created>2024-03-11 16:47:46</r:created><r:modified>2024-09-24 19:37:40</r:modified></r:article></item></channel></rss>