<?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>oss6.r-universe.dev</title><link>https://oss6.r-universe.dev</link><description>Recent package updates in oss6</description><generator>R-universe</generator><image><url>https://github.com/oss6.png</url><title>R packages by oss6</title><link>https://oss6.r-universe.dev</link></image><lastBuildDate>Tue, 13 Oct 2026 12:45:02 GMT</lastBuildDate><item><title>[bioc] MsBackendParquet 0.99.8</title><author>o.edbali@bham.ac.uk (Ossama Edbali)</author><description>Mass spectrometry (MS) data backend for the Spectra
Bioconductor package that stores and retrieves spectra and peak
data from on-disk Apache Parquet datasets. Spectra metadata
together with m/z and intensity values are stored in a columnar
Parquet format that supports compression, dictionary encoding
and Hive-style partitioning. Datasets are written with the
Apache Arrow R bindings and queried with DuckDB. Spectra
variables are held in a bounded in-memory index so that
filtering and metadata access are fast while peak data remains
on disk.</description><link>https://github.com/r-universe/bioc/actions/runs/38574727472</link><pubDate>Tue, 13 Oct 2026 12:45:02 GMT</pubDate><r:package>MsBackendParquet</r:package><r:version>0.99.8</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/MsBackendParquet</r:upstream><r:article><r:source>MsBackendParquet.Rmd</r:source><r:filename>MsBackendParquet.html</r:filename><r:title>Apache Parquet-based Mass Spectrometry Data Backend</r:title><r:created>2026-05-18 09:53:46</r:created><r:modified>2026-10-13 12:45:02</r:modified></r:article></item><item><title>[bioc] lcmsPlot 1.1.17</title><author>o.edbali@bham.ac.uk (Ossama Edbali)</author><description>lcmsPlot is an R package designed for visualising Liquid
Chromatography-Mass Spectrometry (LC-MS) data with
publication-ready high-quality plots. The package enables users
to generate and customise chromatograms, mass traces, spectra,
and more with fine-tuned aesthetics and annotation options.</description><link>https://github.com/r-universe/bioc/actions/runs/38343266640</link><pubDate>Mon, 12 Oct 2026 10:07:41 GMT</pubDate><r:package>lcmsPlot</r:package><r:version>1.1.17</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/lcmsPlot</r:upstream><r:article><r:source>creating_publication_ready_plots.Rmd</r:source><r:filename>creating_publication_ready_plots.html</r:filename><r:title>Creating publication-ready LC-MS data plots</r:title><r:created>2025-09-26 10:58:49</r:created><r:modified>2026-01-04 12:53:39</r:modified></r:article><r:article><r:source>lcms_data_plotting.Rmd</r:source><r:filename>lcms_data_plotting.html</r:filename><r:title>Easy-to-use, intuitive, and efficient LC-MS data plotting with lcmsPlot</r:title><r:created>2025-07-03 11:35:34</r:created><r:modified>2026-09-24 21:11:26</r:modified></r:article></item></channel></rss>