<?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>biocstaging.r-universe.dev</title><link>https://biocstaging.r-universe.dev</link><description>Recent package updates in biocstaging</description><generator>R-universe</generator><image><url>https://github.com/biocstaging.png</url><title>R packages by biocstaging</title><link>https://biocstaging.r-universe.dev</link></image><lastBuildDate>Mon, 01 Jun 2026 12:18:51 GMT</lastBuildDate><item><title>[biocstaging] spatialdataR 0.99.41</title><author>helena@crowell.eu (Helena L. Crowell)</author><description>R interface to Python/scverse's 'spatialdata' framework
for unified spatial omics data handling. Adheres to OME-NGFF
standards, providing lazy, on-disk representations for
multiscale images and labels (ZarrArray), as well as points and
shapes (DuckDB-backed tables). Includes handling of coordinate
transformation systems and spatial utilities for cropping,
masking, and querying. Integrates tabular annotations as
'SingleCellExperiment's (via 'anndataR'), enabling
interoperable spatial omics workflows across R and Python.</description><link>https://github.com/r-universe/biocstaging/actions/runs/26768238251</link><pubDate>Mon, 01 Jun 2026 12:18:51 GMT</pubDate><r:package>spatialdataR</r:package><r:version>0.99.41</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/spatialdataR</r:upstream><r:article><r:source>SpatialData.Rmd</r:source><r:filename>SpatialData.html</r:filename><r:title>spatialdataR</r:title><r:created>2023-04-27 14:17:42</r:created><r:modified>2026-06-01 12:18:51</r:modified></r:article></item><item><title>[biocstaging] KEGGemUP 0.99.0</title><author>marinif@uni-mainz.de (Federico Marini)</author><description>KEGGemUP retrieves and renders interactively KEGG pathway
graphs. The retrieval makes full use of the caching
functionality to avoid unnecessary download processes. The
interactivity of the graph is warranted via the visNetwork
interface to the vis.js library, fully supporting bindings to
be used in Shiny for further operations.</description><link>https://github.com/r-universe/biocstaging/actions/runs/26507739927</link><pubDate>Wed, 27 May 2026 09:59:02 GMT</pubDate><r:package>KEGGemUP</r:package><r:version>0.99.0</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/KEGGemUP</r:upstream><r:article><r:source>KEGGemUP_userguide.Rmd</r:source><r:filename>KEGGemUP_userguide.html</r:filename><r:title>The KEGGemUP User's Guide</r:title><r:created>2026-05-27 09:59:02</r:created><r:modified>2026-05-27 09:59:02</r:modified></r:article></item><item><title>[biocstaging] EMMA 0.99.3</title><author>abassi.nejla96@gmail.com (Najla Abassi)</author><description>EMMA is a package that provides a provenance-aware
execution framework for functional enrichment analyses. It
allows users to run enrichment analyses using existing tools
and workflows while explicitly capturing analytical parameters
during runtime, and returns the native enrichment results
output together with structured metadata.</description><link>https://github.com/r-universe/biocstaging/actions/runs/26162671077</link><pubDate>Wed, 20 May 2026 11:29:49 GMT</pubDate><r:package>EMMA</r:package><r:version>0.99.3</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/EMMA</r:upstream><r:article><r:source>Introduction_to_EMMA.Rmd</r:source><r:filename>Introduction_to_EMMA.html</r:filename><r:title>The EMMA User's Guide - Enrichment Method MAtters</r:title><r:created>2022-09-11 10:08:04</r:created><r:modified>2026-05-19 13:48:32</r:modified></r:article></item><item><title>[biocstaging] iSEEid 0.99.0</title><author>marinif@uni-mainz.de (Federico Marini)</author><description>This package provides a dedicated panel to assist the
sample identification within a single iSEE web-application. The
main functionality of this package can be adopted to
efficiently select samples (e.g. cells) that need to be
identified and annotated in the analysis workflow. With iSEEid,
the iSEE framework fully qualifies to be an ideal companion for
assigning appropriate labels to large omics datasets.</description><link>https://github.com/r-universe/biocstaging/actions/runs/26112279736</link><pubDate>Tue, 19 May 2026 14:06:01 GMT</pubDate><r:package>iSEEid</r:package><r:version>0.99.0</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/iSEEid</r:upstream><r:article><r:source>Introduction_to_iSEEid.Rmd</r:source><r:filename>Introduction_to_iSEEid.html</r:filename><r:title>Introduction to iSEEid - Using iSEE to annotate single cells</r:title><r:created>2024-09-02 15:35:17</r:created><r:modified>2026-05-19 14:03:46</r:modified></r:article></item><item><title>[biocstaging] GO.ddb 0.99.4</title><author>stvjc@channing.harvard.edu (Vincent Carey)</author><description>Provides a tidyverse-oriented user interface to Gene
Ontology data via the Semantic SQL representation, accessed
through DuckDB. Replaces the GO.db + AnnotationDbi::select
nexus with lazy tibble-based operations for term lookup,
ancestor/descendant traversal, and gene-GO annotation queries.
The Semantic SQL resource is managed by the ontoProc2 package
via BiocFileCache.</description><link>https://github.com/r-universe/biocstaging/actions/runs/25881234685</link><pubDate>Thu, 14 May 2026 18:25:07 GMT</pubDate><r:package>GO.ddb</r:package><r:version>0.99.4</r:version><r:status>failure</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/GO.ddb</r:upstream></item><item><title>[biocstaging] TxParq.Hs.gencode.v49 0.99.2</title><author>stvjc@channing.harvard.edu (Vince Carey)</author><description>This is a parquet-based representation of GENCODE gene
models v49 for Homo sapiens. Parquet is chosen to reduce
footprint, to support tidyverse-oriented operations natively,
and to provide opportunities for cloud-backed annotation
services. Community contributions to functionality and
architecture are welcome.</description><link>https://github.com/r-universe/biocstaging/actions/runs/25864951316</link><pubDate>Thu, 14 May 2026 12:27:56 GMT</pubDate><r:package>TxParq.Hs.gencode.v49</r:package><r:version>0.99.2</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/TxParq.Hs.gencode.v49</r:upstream><r:article><r:source>TxParq.Hs.gencode.v49.Rmd</r:source><r:filename>TxParq.Hs.gencode.v49.html</r:filename><r:title>TxParq.Hs.gencode.v49: Parquet transformation of TxDb.Hs with Gencode v49</r:title><r:created>2026-05-12 12:59:53</r:created><r:modified>2026-05-13 17:43:45</r:modified></r:article></item><item><title>[biocstaging] ontoProc2 0.99.20</title><author>stvjc@channing.harvard.edu (Vincent Carey)</author><description>This package provides ontology facilities based on
INCAtools Semantic SQL.  Tooling is provided to retrieve and
cache SQLite databases representing curated ontologies.
ontologyIndex ontology_index instances can be produced.
Anthropic's Claude was used in the development of S7 classes
and methods and in the production of documentation.</description><link>https://github.com/r-universe/biocstaging/actions/runs/25704579127</link><pubDate>Mon, 11 May 2026 23:01:49 GMT</pubDate><r:package>ontoProc2</r:package><r:version>0.99.20</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/ontoProc2</r:upstream><r:article><r:source>celltoprotein.Rmd</r:source><r:filename>celltoprotein.html</r:filename><r:title>celltoprotein -- connecting Cell and Protein Ontologies</r:title><r:created>2026-03-25 10:00:26</r:created><r:modified>2026-03-31 20:21:25</r:modified></r:article><r:article><r:source>ontoProc2.Rmd</r:source><r:filename>ontoProc2.html</r:filename><r:title>ontoProc2 -- leveraging semantic SQL for ontology analysis in Bioconductor</r:title><r:created>2025-10-27 12:07:10</r:created><r:modified>2026-05-11 21:17:14</r:modified></r:article><r:article><r:source>uberonpeek.Rmd</r:source><r:filename>uberonpeek.html</r:filename><r:title>uberonpeek -- a look at UBERON ontology, etc., with ontoProc2</r:title><r:created>2023-09-07 20:03:53</r:created><r:modified>2026-03-31 18:12:14</r:modified></r:article></item><item><title>[biocstaging] MultipleAlignment 0.99.1</title><author>hpages.on.github@gmail.com (Hervé Pagès)</author><description>The package implements a set of S4 classes
(DNAMultipleAlignment, RNAMultipleAlignment,
AAMultipleAlignment) for representing multiple sequence
alignments.</description><link>https://github.com/r-universe/biocstaging/actions/runs/25514382039</link><pubDate>Thu, 07 May 2026 17:14:12 GMT</pubDate><r:package>MultipleAlignment</r:package><r:version>0.99.1</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/MultipleAlignment</r:upstream><r:article><r:source>MultipleAlignments.Rmd</r:source><r:filename>MultipleAlignments.html</r:filename><r:title>MultipleAlignment Objects</r:title><r:created>2026-04-30 00:33:16</r:created><r:modified>2026-04-30 00:33:16</r:modified></r:article></item><item><title>[biocstaging] spbtest3 0.99.119</title><author>lori.shepherd@roswellpark.org (Lori Shepherd)</author><description>What the package does (one paragraph).</description><link>https://github.com/r-universe/biocstaging/actions/runs/26396366522</link><pubDate>Wed, 29 Jun 2022 14:50:59 GMT</pubDate><r:package>spbtest3</r:package><r:version>0.99.119</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/Bioconductor/spbtest3</r:upstream><r:article><r:source>test3.Rmd</r:source><r:filename>test3.html</r:filename><r:title>Bioc Tes3</r:title><r:created>2018-05-25 11:47:52</r:created><r:modified>2018-05-25 13:31:48</r:modified></r:article><r:article><r:source>test2.Rmd</r:source><r:filename>test2.html</r:filename><r:title>BiocFileCache: Managing File Resources Across Sessions</r:title><r:created>2018-05-25 11:47:52</r:created><r:modified>2018-06-14 12:28:32</r:modified></r:article><r:article><r:source>spbtest3.Rnw</r:source><r:filename>spbtest3.pdf</r:filename><r:title>spbtest3</r:title><r:created>2016-09-27 12:52:58</r:created><r:modified>2018-05-25 11:47:52</r:modified></r:article><r:article><r:source>test.Rnw</r:source><r:filename>test.pdf</r:filename><r:title>test</r:title><r:created>2018-05-25 11:47:52</r:created><r:modified>2018-05-25 13:31:48</r:modified></r:article></item><item><title>[biocstaging] spbtest5 0.99.1</title><author>lori.shepherd@roswellpark.org (Lori Shepherd)</author><description>What the package does? (one paragraph).</description><link>https://github.com/r-universe/biocstaging/actions/runs/26354659479</link><pubDate>Mon, 24 Feb 2020 18:27:04 GMT</pubDate><r:package>spbtest5</r:package><r:version>0.99.1</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/Bioconductor/spbtest5</r:upstream><r:article><r:source>spbtest5.Rnw</r:source><r:filename>spbtest5.pdf</r:filename><r:title>spbtest5</r:title><r:created>2020-02-24 18:09:48</r:created><r:modified>2020-02-24 18:09:48</r:modified></r:article></item></channel></rss>