<?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>lcscs12345.r-universe.dev</title><link>https://lcscs12345.r-universe.dev</link><description>Recent package updates in lcscs12345</description><generator>R-universe</generator><image><url>https://github.com/lcscs12345.png</url><title>R packages by lcscs12345</title><link>https://lcscs12345.r-universe.dev</link></image><lastBuildDate>Tue, 28 Apr 2026 13:06:05 GMT</lastBuildDate><item><title>[bioc] DOTSeq 1.1.0</title><author>lim.bioinfo@gmail.com (Chun Shen Lim)</author><description>Differential open reading frame (ORF) translation analysis
framework for ribosome profiling (Ribo-seq) with matched
RNA-seq. Implements (i) Differential ORF Usage (DOU), a
beta-binomial generalized linear model that models the expected
proportion of Ribo-seq versus RNA-seq reads mapping to each ORF
within a gene, and (ii) ORF-level Differential Translation
Efficiency (DTE), a negative binomial GLM that capture changes
in translation efficiency of individual ORFs across
experimental conditions. Supports ORF-level read summarization
for bulk and single-cell Ribo-seq.</description><link>https://github.com/r-universe/bioc/actions/runs/38380860470</link><pubDate>Tue, 28 Apr 2026 13:06:05 GMT</pubDate><r:package>DOTSeq</r:package><r:version>1.1.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/DOTSeq</r:upstream><r:article><r:source>DOTSeq.Rmd</r:source><r:filename>DOTSeq.html</r:filename><r:title>DOTSeq: Detecting Differential ORF Usage in Ribosome Profiling Data</r:title><r:created>2025-08-17 07:37:55</r:created><r:modified>2026-03-17 07:14:35</r:modified></r:article></item></channel></rss>