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AnnotationHub web resource. The AnnotationHub web resource
provides a central location where genomic files (e.g., VCF,
bed, wig) and other resources from standard locations (e.g.,
UCSC, Ensembl) can be discovered. The resource includes
metadata about each resource, e.g., a textual description,
tags, and date of modification. The client creates and manages
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SQLite-based annotation data packages.</description><link>https://github.com/r-universe/bioc/actions/runs/36228666081</link><pubDate>Thu, 27 Aug 2026 01:54:04 GMT</pubDate><r:package>AnnotationDbi</r:package><r:version>1.75.2</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/AnnotationDbi</r:upstream><r:article><r:source>IntroToAnnotationPackages.Rnw</r:source><r:filename>IntroToAnnotationPackages.pdf</r:filename><r:title>Introduction To Bioconductor Annotation Packages </r:title><r:created>2013-10-22 23:20:32</r:created><r:modified>2021-01-29 16:24:36</r:modified></r:article></item><item><title>[bioc] ExperimentHub 3.3.2</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>This package provides a client for the Bioconductor
ExperimentHub web resource. ExperimentHub provides a central
location where curated data from experiments, publications or
training courses can be accessed. Each resource has associated
metadata, tags and date of modification. The client creates and
manages a local cache of files retrieved enabling quick and
reproducible access.</description><link>https://github.com/r-universe/bioc/actions/runs/38130920145</link><pubDate>Wed, 12 Aug 2026 16:08:44 GMT</pubDate><r:package>ExperimentHub</r:package><r:version>3.3.2</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/ExperimentHub</r:upstream><r:article><r:source>ExperimentHub.Rmd</r:source><r:filename>ExperimentHub.html</r:filename><r:title>ExperimentHub: Access the ExperimentHub Web Service</r:title><r:created>2017-09-25 17:20:10</r:created><r:modified>2026-06-15 17:50:44</r:modified></r:article></item><item><title>[bioc] Biobase 2.73.2</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>Functions that are needed by many other packages or which
replace R functions.</description><link>https://github.com/r-universe/bioc/actions/runs/36559753519</link><pubDate>Tue, 28 Jul 2026 23:32:39 GMT</pubDate><r:package>Biobase</r:package><r:version>2.73.2</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/Biobase</r:upstream><r:article><r:source>ExpressionSetIntroduction.Rnw</r:source><r:filename>ExpressionSetIntroduction.pdf</r:filename><r:title>An introduction to Biobase and ExpressionSets</r:title><r:created>2013-10-18 21:56:02</r:created><r:modified>2018-07-17 21:44:18</r:modified></r:article><r:article><r:source>esApply.Rmd</r:source><r:filename>esApply.html</r:filename><r:title>esApply Introduction</r:title><r:created>2022-10-22 20:39:12</r:created><r:modified>2022-10-28 20:33:49</r:modified></r:article><r:article><r:source>BiobaseDevelopment.Rmd</r:source><r:filename>BiobaseDevelopment.html</r:filename><r:title>Biobase development and the new eSet</r:title><r:created>2022-10-31 20:04:22</r:created><r:modified>2022-10-31 20:04:22</r:modified></r:article></item><item><title>[bioc] VariantAnnotation 1.59.4</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>Annotate variants, compute amino acid coding changes,
predict coding outcomes.</description><link>https://github.com/r-universe/bioc/actions/runs/37941533522</link><pubDate>Fri, 24 Jul 2026 10:23:12 GMT</pubDate><r:package>VariantAnnotation</r:package><r:version>1.59.4</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/VariantAnnotation</r:upstream><r:article><r:source>VariantAnnotation.Rmd</r:source><r:filename>VariantAnnotation.html</r:filename><r:title>Introduction to VariantAnnotation </r:title><r:created>2023-06-02 16:05:20</r:created><r:modified>2023-06-02 16:05:20</r:modified></r:article><r:article><r:source>filterVcf.Rmd</r:source><r:filename>filterVcf.html</r:filename><r:title>Using filterVcf() to Select Variants from VCF Files </r:title><r:created>2023-06-02 16:05:20</r:created><r:modified>2023-06-02 16:05:20</r:modified></r:article><r:article><r:source>ensemblVEP.Rmd</r:source><r:filename>ensemblVEP.html</r:filename><r:title>ensemblVEP: using the REST API with Bioconductor</r:title><r:created>2024-01-26 10:38:58</r:created><r:modified>2024-01-26 10:38:58</r:modified></r:article></item><item><title>[bioc] KEGGREST 1.53.6</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>A package that provides a client interface to the Kyoto
Encyclopedia of Genes and Genomes (KEGG) REST API. Only for
academic use by academic users belonging to academic
institutions (see &lt;https://www.kegg.jp/kegg/rest/&gt;). Note that
KEGGREST is based on KEGGSOAP by J. Zhang, R. Gentleman, and
Marc Carlson, and KEGG (python package) by Aurelien Mazurie.</description><link>https://github.com/r-universe/bioc/actions/runs/39557835589</link><pubDate>Wed, 22 Jul 2026 20:09:17 GMT</pubDate><r:package>KEGGREST</r:package><r:version>1.53.6</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/KEGGREST</r:upstream><r:article><r:source>KEGGREST-vignette.Rmd</r:source><r:filename>KEGGREST-vignette.html</r:filename><r:title>Accessing the KEGG REST API</r:title><r:created>2013-01-02 03:08:13</r:created><r:modified>2026-06-16 16:39:34</r:modified></r:article></item><item><title>[bioc] biocViews 1.81.1</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>Infrastructure to support 'views' used to classify
Bioconductor packages. 'biocViews' are directed acyclic graphs
of terms from a controlled vocabulary. There are three major
classifications, corresponding to 'software', 'annotation', and
'experiment data' packages.</description><link>https://github.com/r-universe/bioc/actions/runs/37438933168</link><pubDate>Tue, 07 Jul 2026 21:48:36 GMT</pubDate><r:package>biocViews</r:package><r:version>1.81.1</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/biocViews</r:upstream><r:article><r:source>createReposHtml.Rmd</r:source><r:filename>createReposHtml.html</r:filename><r:title>HOWTO generate repository HTML</r:title><r:created>2022-08-03 00:33:56</r:created><r:modified>2022-08-03 00:33:56</r:modified></r:article><r:article><r:source>HOWTO-BCV.Rmd</r:source><r:filename>HOWTO-BCV.html</r:filename><r:title>HOWTO generate biocViews HTML</r:title><r:created>2022-08-03 00:46:04</r:created><r:modified>2022-08-03 00:46:04</r:modified></r:article></item><item><title>[bioc] ShortRead 1.71.1</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>This package implements sampling, iteration, and input of
FASTQ files. The package includes functions for filtering and
trimming reads, and for generating a quality assessment report.
Data are represented as DNAStringSet-derived objects, and
easily manipulated for a diversity of purposes.  The package
also contains legacy support for early single-end, ungapped
alignment formats.</description><link>https://github.com/r-universe/bioc/actions/runs/37941527569</link><pubDate>Sat, 04 Jul 2026 16:59:11 GMT</pubDate><r:package>ShortRead</r:package><r:version>1.71.1</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/ShortRead</r:upstream><r:article><r:source>Overview.Rmd</r:source><r:filename>Overview.html</r:filename><r:title>An Introduction to ShortRead</r:title><r:created>2024-01-03 03:00:29</r:created><r:modified>2024-04-23 17:46:45</r:modified></r:article></item><item><title>[bioc] ExperimentHubData 1.39.1</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>Functions to add metadata to ExperimentHub db and resource
files to AWS S3 buckets.</description><link>https://github.com/r-universe/bioc/actions/runs/36315809414</link><pubDate>Fri, 22 May 2026 22:20:44 GMT</pubDate><r:package>ExperimentHubData</r:package><r:version>1.39.1</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/ExperimentHubData</r:upstream><r:article><r:source>ExperimentHubData.Rmd</r:source><r:filename>ExperimentHubData.html</r:filename><r:title>Introduction to ExperimentHubData</r:title><r:created>2016-02-26 14:58:37</r:created><r:modified>2021-07-06 18:07:56</r:modified></r:article></item><item><title>[bioc] OrganismDbi 1.55.1</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>The package enables a simple unified interface to several
annotation packages each of which has its own schema by taking
advantage of the fact that each of these packages implements a
select methods.</description><link>https://github.com/r-universe/bioc/actions/runs/39012969392</link><pubDate>Tue, 28 Apr 2026 23:43:16 GMT</pubDate><r:package>OrganismDbi</r:package><r:version>1.55.1</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/OrganismDbi</r:upstream><r:article><r:source>OrganismDbi.Rmd</r:source><r:filename>OrganismDbi.html</r:filename><r:title>OrganismDbi: A meta framework for Annotation Packages</r:title><r:created>2023-04-18 05:10:45</r:created><r:modified>2023-04-18 05:14:38</r:modified></r:article></item><item><title>[bioc] Bioc.gff 1.3.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>Parse GFF and GTF files using C++ classes. The package
also provides utilities to read and write GFF3 files. The GFF
(General Feature Format) format is a tab-delimited file format
for describing genes and other features of DNA, RNA, and
protein sequences. GFF files are often used to describe the
features of genomes.</description><link>https://github.com/r-universe/bioc/actions/runs/36549325043</link><pubDate>Tue, 28 Apr 2026 13:05:23 GMT</pubDate><r:package>Bioc.gff</r:package><r:version>1.3.0</r:version><r:status>failure</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/Bioc.gff</r:upstream></item><item><title>[bioc] LoomExperiment 1.31.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>The LoomExperiment package provide a means to easily
convert the Bioconductor &quot;Experiment&quot; classes to loom files and
vice versa.</description><link>https://github.com/r-universe/bioc/actions/runs/36854519573</link><pubDate>Tue, 28 Apr 2026 12:49:10 GMT</pubDate><r:package>LoomExperiment</r:package><r:version>1.31.0</r:version><r:status>failure</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/LoomExperiment</r:upstream></item><item><title>[bioc] BiocVersion 3.24.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>This package provides repository information for the
appropriate version of Bioconductor.</description><link>https://github.com/r-universe/bioc/actions/runs/38063183792</link><pubDate>Tue, 28 Apr 2026 12:48:02 GMT</pubDate><r:package>BiocVersion</r:package><r:version>3.24.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/BiocVersion</r:upstream></item><item><title>[bioc] AnnotationFilter 1.37.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>This package provides class and other infrastructure to
implement filters for manipulating Bioconductor annotation
resources. The filters will be used by ensembldb,
Organism.dplyr, and other packages.</description><link>https://github.com/r-universe/bioc/actions/runs/38225097863</link><pubDate>Tue, 28 Apr 2026 12:45:23 GMT</pubDate><r:package>AnnotationFilter</r:package><r:version>1.37.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/AnnotationFilter</r:upstream><r:article><r:source>AnnotationFilter.Rmd</r:source><r:filename>AnnotationFilter.html</r:filename><r:title>Facilities for Filtering Bioconductor Annotation Resources</r:title><r:created>2017-07-27 20:36:06</r:created><r:modified>2018-06-12 15:29:00</r:modified></r:article></item><item><title>[bioc] variants 1.37.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>Read and write VCF files. Identify structural location of
variants and compute amino acid coding changes for
non-synonymous variants. Use SIFT and PolyPhen database
packages to predict consequence of amino acid coding changes.</description><link>https://github.com/r-universe/bioc/actions/runs/36885045227</link><pubDate>Tue, 28 Apr 2026 12:43:22 GMT</pubDate><r:package>variants</r:package><r:version>1.37.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/variants</r:upstream><r:article><r:source>Annotating_Genomic_Variants.Rmd</r:source><r:filename>Annotating_Genomic_Variants.html</r:filename><r:title>Annotating Genomic Variants</r:title><r:created>2017-09-15 20:43:21</r:created><r:modified>2021-04-10 17:59:13</r:modified></r:article></item><item><title>[bioc] sequencing 1.37.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>Bioconductor enables the analysis and comprehension of
high- throughput genomic data. We have a vast number of
packages that allow rigorous statistical analysis of large data
while keeping technological artifacts in mind. Bioconductor
helps users place their analytic results into biological
context, with rich opportunities for visualization.
Reproducibility is an important goal in Bioconductor analyses.
Different types of analysis can be carried out using
Bioconductor, for example; Sequencing : RNASeq, ChIPSeq,
variants, copy number etc.; Microarrays: expression, SNP, etc.;
Domain specific analysis : Flow cytometry, Proteomics etc. For
these analyses, one typically imports and works with diverse
sequence-related file types, including fasta, fastq, BAM, gtf,
bed, and wig files, among others. Bioconductor packages support
import, common and advanced sequence manipulation operations
such as trimming, transformation, and alignment including
quality assessment.</description><link>https://github.com/r-universe/bioc/actions/runs/37777879091</link><pubDate>Tue, 28 Apr 2026 12:43:15 GMT</pubDate><r:package>sequencing</r:package><r:version>1.37.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/sequencing</r:upstream><r:article><r:source>sequencing.Rmd</r:source><r:filename>sequencing.html</r:filename><r:title>Introduction to Bioconductor for Sequence Data</r:title><r:created>2017-09-15 20:41:42</r:created><r:modified>2019-03-08 17:23:33</r:modified></r:article></item><item><title>[bioc] AnnotationHubData 1.43.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>These recipes convert a wide variety and a growing number
of public bioinformatic data sets into easily-used standard
Bioconductor data structures.</description><link>https://github.com/r-universe/bioc/actions/runs/38891881982</link><pubDate>Tue, 28 Apr 2026 12:41:49 GMT</pubDate><r:package>AnnotationHubData</r:package><r:version>1.43.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/AnnotationHubData</r:upstream><r:article><r:source>IntroductionToAnnotationHubData.Rmd</r:source><r:filename>IntroductionToAnnotationHubData.html</r:filename><r:title>Introduction to AnnotationHubData</r:title><r:created>2016-08-10 20:10:10</r:created><r:modified>2021-09-10 12:38:17</r:modified></r:article></item><item><title>[bioc] liftOver 1.37.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>The liftOver facilities developed in conjunction with the
UCSC browser track infrastructure are available for
transforming data in GRanges formats.  This is illustrated here
with an image of the EBI/NHGRI GWAS catalog that is, as of May
10 2017, distributed with coordinates defined by NCBI build
hg38.</description><link>https://github.com/r-universe/bioc/actions/runs/38135814589</link><pubDate>Tue, 28 Apr 2026 12:40:35 GMT</pubDate><r:package>liftOver</r:package><r:version>1.37.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/liftOver</r:upstream><r:article><r:source>liftov.Rmd</r:source><r:filename>liftov.html</r:filename><r:title>Changing genomic coordinate systems with rtracklayer::liftOver</r:title><r:created>2017-09-15 20:21:29</r:created><r:modified>2025-07-18 18:16:11</r:modified></r:article></item><item><title>[bioc] highthroughputassays 1.37.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>The workflow illustrates use of the flow cytometry
packages to load, transform and visualize the flow data and
gate certain populations in the dataset. The workflow loads the
`flowCore`, `flowStats` and `flowWorkspace` packages and its
dependencies.  It loads the ITN data with 15 samples, each of
which includes, in addition to FSC and SSC, 5 fluorescence
channels: CD3, CD4, CD8, CD69 and HLADR.</description><link>https://github.com/r-universe/bioc/actions/runs/37635440819</link><pubDate>Tue, 28 Apr 2026 12:40:33 GMT</pubDate><r:package>highthroughputassays</r:package><r:version>1.37.0</r:version><r:status>failure</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/highthroughputassays</r:upstream></item><item><title>[bioc] generegulation 1.37.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>The binding of transcription factor proteins (TFs) to DNA
promoter regions upstream of gene transcription start sites
(TSSs) is one of the most important mechanisms by which gene
expression, and thus many cellular processes, are controlled.
Though in recent years many new kinds of data have become
available for identifying transcription factor binding sites
(TFBSs) -- ChIP-seq and DNase I hypersensitivity regions among
them -- sequence matching continues to play an important role.
In this workflow we demonstrate Bioconductor techniques for
finding candidate TF binding sites in DNA sequence using the
model organism Saccharomyces cerevisiae.  The methods
demonstrated here apply equally well to other organisms.</description><link>https://github.com/r-universe/bioc/actions/runs/36884910294</link><pubDate>Tue, 28 Apr 2026 12:40:31 GMT</pubDate><r:package>generegulation</r:package><r:version>1.37.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/generegulation</r:upstream><r:article><r:source>generegulation.Rmd</r:source><r:filename>generegulation.html</r:filename><r:title>Finding Candidate Binding Sites for Known Transcription Factors via Sequence Matching</r:title><r:created>2017-09-15 20:48:40</r:created><r:modified>2018-08-10 13:26:25</r:modified></r:article></item><item><title>[bioc] arrays 1.39.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>Using Bioconductor for Microarray Analysis workflow</description><link>https://github.com/r-universe/bioc/actions/runs/37635400424</link><pubDate>Tue, 28 Apr 2026 12:40:19 GMT</pubDate><r:package>arrays</r:package><r:version>1.39.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/arrays</r:upstream><r:article><r:source>arrays.Rmd</r:source><r:filename>arrays.html</r:filename><r:title>Using Bioconductor for Microarray Analysis</r:title><r:created>2013-06-20 17:38:18</r:created><r:modified>2018-08-10 13:07:00</r:modified></r:article></item><item><title>[bioc] annotation 1.37.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>Annotation resources make up a significant proportion of
the Bioconductor project. And there are also a diverse set of
online resources available which are accessed using specific
packages.  This walkthrough will describe the most popular of
these resources and give some high level examples on how to use
them.</description><link>https://github.com/r-universe/bioc/actions/runs/36884850250</link><pubDate>Tue, 28 Apr 2026 12:40:17 GMT</pubDate><r:package>annotation</r:package><r:version>1.37.0</r:version><r:status>failure</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/annotation</r:upstream></item><item><title>[bioc] GenomicFiles 1.49.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>This package provides infrastructure for parallel
computations distributed 'by file' or 'by range'. User defined
MAPPER and REDUCER functions provide added flexibility for data
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(Sequence Alignment / Map), FASTA, binary variant call (BCF)
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Additional plots for: Independent filtering increases power for detecting differentially expressed genes, Bourgon et al., PNAS (2010)</r:title><r:created>2013-10-25 21:19:52</r:created><r:modified>2021-01-14 17:00:12</r:modified></r:article><r:article><r:source>howtogenefilter.Rmd</r:source><r:filename>howtogenefilter.html</r:filename><r:title>Using the genefilter function to filter genes from a microarray dataset</r:title><r:created>2023-03-28 12:48:34</r:created><r:modified>2023-03-28 12:48:34</r:modified></r:article></item><item><title>[bioc] annotate 1.91.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>Using R enviroments for annotation.</description><link>https://github.com/r-universe/bioc/actions/runs/37190178136</link><pubDate>Tue, 28 Apr 2026 12:29:54 GMT</pubDate><r:package>annotate</r:package><r:version>1.91.0</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/annotate</r:upstream><r:article><r:source>annotate.Rnw</r:source><r:filename>annotate.pdf</r:filename><r:title>Annotation Overview</r:title><r:created>2013-10-25 21:19:52</r:created><r:modified>2013-10-25 21:19:52</r:modified></r:article><r:article><r:source>GOusage.Rnw</r:source><r:filename>GOusage.pdf</r:filename><r:title>Basic GO Usage</r:title><r:created>2013-10-25 21:19:52</r:created><r:modified>2014-04-12 00:46:54</r:modified></r:article><r:article><r:source>chromLOC.Rmd</r:source><r:filename>chromLOC.html</r:filename><r:title>HowTo: Build and use chromosomal information</r:title><r:created>2024-01-09 04:18:29</r:created><r:modified>2024-01-09 04:18:29</r:modified></r:article><r:article><r:source>prettyOutput.Rnw</r:source><r:filename>prettyOutput.pdf</r:filename><r:title>HowTo: Get HTML Output</r:title><r:created>2013-10-25 21:19:52</r:created><r:modified>2013-10-25 21:19:52</r:modified></r:article><r:article><r:source>query.Rnw</r:source><r:filename>query.pdf</r:filename><r:title>HOWTO: Use the online query tools</r:title><r:created>2013-10-25 21:19:52</r:created><r:modified>2018-03-20 21:08:59</r:modified></r:article><r:article><r:source>useProbeInfo.Rnw</r:source><r:filename>useProbeInfo.pdf</r:filename><r:title>Using Affymetrix Probe Level Data</r:title><r:created>2013-10-25 21:19:52</r:created><r:modified>2013-10-25 21:19:52</r:modified></r:article><r:article><r:source>useDataPkgs.Rmd</r:source><r:filename>useDataPkgs.html</r:filename><r:title>Using Bioconductor's Annotation Libraries</r:title><r:created>2024-01-24 21:03:16</r:created><r:modified>2024-01-24 21:03:16</r:modified></r:article></item><item><title>[bioc] DynDoc 1.91.0</title><author>maintainer@bioconductor.org (Bioconductor Package Maintainer)</author><description>A set of functions to create and interact with dynamic
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samples across 24 cancer types and made them available as GEO
accession
[GSE62944](http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62944).
GSE62944 data have been parsed into a SummarizedExperiment
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