<?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>prodakt.r-universe.dev</title><link>https://prodakt.r-universe.dev</link><description>Recent package updates in prodakt</description><generator>R-universe</generator><image><url>https://github.com/prodakt.png</url><title>R packages by prodakt</title><link>https://prodakt.r-universe.dev</link></image><lastBuildDate>Tue, 28 Apr 2026 13:07:14 GMT</lastBuildDate><item><title>[bioc] lncRna 1.1.0</title><author>bioinformatyka@gmail.com (Jan Pawel Jastrzebski)</author><description>Provides a complete workflow for the identification,
analysis, and functional annotation of long non-coding RNAs
(lncRNAs) from RNA-Seq data. The package includes functions for
filtering transcripts from GTF files, evaluating the
performance of multiple coding potential prediction tools
(e.g., CPC2, PLEK, CPAT), and summarizing their agreement. It
enables systematic performance analysis of individual tools,
&quot;at least N&quot; tool consensus, and all possible tool
combinations. Functional analysis is supported through the
identification of potential cis- and trans-acting interactions
with protein-coding genes, followed by enrichment analysis.
Results can be visualized using a variety of plots, including
radar plots, clock plots, and interactive Sankey diagrams.</description><link>https://github.com/r-universe/bioc/actions/runs/28731343841</link><pubDate>Tue, 28 Apr 2026 13:07:14 GMT</pubDate><r:package>lncRna</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/lncRna</r:upstream><r:article><r:source>lncRna.Rmd</r:source><r:filename>lncRna.html</r:filename><r:title>lncRna: A Comprehensive Pipeline for lncRNA Identification and Functional Analysis</r:title><r:created>2025-12-17 11:46:56</r:created><r:modified>2026-03-11 19:49:43</r:modified></r:article></item><item><title>[bioc] PMScanR 1.3.0</title><author>bioinformatyka@gmail.com (Jan Pawel Jastrzebski)</author><description>Provides tools for large-scale protein motif analysis and
visualization in R. PMScanR facilitates the identification of
motifs using external tools like PROSITE's ps_scan (handling
necessary file downloads and execution) and enables downstream
analysis of results. Key features include parsing scan outputs,
converting formats (e.g., to GFF-like structures), generating
motif occurrence matrices, and creating informative
visualizations such as heatmaps, sequence logos (via
seqLogo/ggseqlogo). The package also offers an optional
Shiny-based graphical user interface for interactive analysis,
aiming to streamline the process of exploring motif patterns
across multiple protein sequences.</description><link>https://github.com/r-universe/bioc/actions/runs/28845139566</link><pubDate>Tue, 28 Apr 2026 13:05:36 GMT</pubDate><r:package>PMScanR</r:package><r:version>1.3.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/PMScanR</r:upstream><r:article><r:source>PMScanR.Rmd</r:source><r:filename>PMScanR.html</r:filename><r:title>PMScanR: An R Package for the large-scale identification, analysis, and visualization of protein motifs</r:title><r:created>2025-04-11 13:49:35</r:created><r:modified>2025-09-26 07:34:16</r:modified></r:article></item></channel></rss>