<?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>immcantation.r-universe.dev</title><link>https://immcantation.r-universe.dev</link><description>Recent package updates in immcantation</description><generator>R-universe</generator><image><url>https://github.com/immcantation.png</url><title>R packages by immcantation</title><link>https://immcantation.r-universe.dev</link></image><lastBuildDate>Thu, 18 Jun 2026 18:33:08 GMT</lastBuildDate><item><title>[immcantation] dowser 2.4.2.999</title><author>kenneth.b.hoehn@dartmouth.edu (Kenneth Hoehn)</author><description>Provides a set of functions for inferring, visualizing,
and analyzing B cell phylogenetic trees. Provides methods to 1)
reconstruct unmutated ancestral sequences, 2) build B cell
phylogenetic trees using multiple methods, 3) visualize trees
with metadata at the tips, 4) reconstruct intermediate
sequences, 5) detect biased ancestor-descendant relationships
among metadata types Workflow examples available at
documentation site (see URL). Citations: Hoehn et al (2022)
&lt;doi:10.1371/journal.pcbi.1009885&gt;, Hoehn et al (2021)
&lt;doi:10.1101/2021.01.06.425648&gt;.</description><link>https://github.com/r-universe/immcantation/actions/runs/27784156987</link><pubDate>Thu, 18 Jun 2026 18:33:08 GMT</pubDate><r:package>dowser</r:package><r:version>2.4.2.999</r:version><r:status>success</r:status><r:repository>https://immcantation.r-universe.dev</r:repository><r:upstream>https://github.com/immcantation/dowser</r:upstream><r:article><r:source>Building-Trees-Vignette.Rmd</r:source><r:filename>Building-Trees-Vignette.html</r:filename><r:title>Build B cell lineage trees</r:title><r:created>2021-07-14 16:15:14</r:created><r:modified>2026-03-26 15:20:00</r:modified></r:article><r:article><r:source>Building-Time-Trees-Vignette.Rmd</r:source><r:filename>Building-Time-Trees-Vignette.html</r:filename><r:title>Build Time Trees Using TyCHE and BEAST</r:title><r:created>2025-10-13 20:41:21</r:created><r:modified>2026-01-06 20:39:24</r:modified></r:article><r:article><r:source>Resolve-Light-Chains-Vignette.Rmd</r:source><r:filename>Resolve-Light-Chains-Vignette.html</r:filename><r:title>Building trees with paired heavy and light chain data</r:title><r:created>2023-07-11 18:34:21</r:created><r:modified>2026-03-26 15:38:43</r:modified></r:article><r:article><r:source>Discrete-Trait-Vignette.Rmd</r:source><r:filename>Discrete-Trait-Vignette.html</r:filename><r:title>Discrete trait analysis</r:title><r:created>2022-03-26 00:27:14</r:created><r:modified>2024-11-05 16:11:31</r:modified></r:article><r:article><r:source>Measurable-Evolution.Rmd</r:source><r:filename>Measurable-Evolution.html</r:filename><r:title>Detect ongoing B cell evolution</r:title><r:created>2022-07-14 08:50:56</r:created><r:modified>2026-03-26 15:20:00</r:modified></r:article><r:article><r:source>Plotting-Trees-Vignette.Rmd</r:source><r:filename>Plotting-Trees-Vignette.html</r:filename><r:title>Plot B cell lineage trees</r:title><r:created>2021-07-14 16:15:14</r:created><r:modified>2023-12-21 21:06:27</r:modified></r:article><r:article><r:source>Quickstart-Vignette.Rmd</r:source><r:filename>Quickstart-Vignette.html</r:filename><r:title>Dowser: Simple lineage tree construction</r:title><r:created>2020-04-30 05:14:16</r:created><r:modified>2023-10-25 14:27:50</r:modified></r:article><r:article><r:source>Germlines-Vignette.Rmd</r:source><r:filename>Germlines-Vignette.html</r:filename><r:title>Reconstruct clonal germline sequences</r:title><r:created>2021-07-14 16:15:14</r:created><r:modified>2025-07-23 17:08:08</r:modified></r:article><r:article><r:source>Sequences-Vignette.Rmd</r:source><r:filename>Sequences-Vignette.html</r:filename><r:title>Reconstruct intermediate sequences</r:title><r:created>2021-07-14 16:15:14</r:created><r:modified>2024-10-18 21:36:35</r:modified></r:article><r:article><r:source>NonB-Cell-Data.Rmd</r:source><r:filename>NonB-Cell-Data.html</r:filename><r:title>Using data from non-B cells</r:title><r:created>2025-10-13 20:41:21</r:created><r:modified>2025-10-13 20:41:21</r:modified></r:article></item><item><title>[immcantation] shazam 1.3.2.999</title><author>susanna.marquez@yale.edu (Susanna Marquez)</author><description>Provides a computational framework for analyzing mutations
in immunoglobulin (Ig) sequences. Includes methods for Bayesian
estimation of antigen-driven selection pressure, mutational
load quantification, building of somatic hypermutation (SHM)
models, and model-dependent distance calculations. Also
includes empirically derived models of SHM for both mice and
humans. Citations: Gupta and Vander Heiden, et al (2015)
&lt;doi:10.1093/bioinformatics/btv359&gt;, Yaari, et al (2012)
&lt;doi:10.1093/nar/gks457&gt;, Yaari, et al (2013)
&lt;doi:10.3389/fimmu.2013.00358&gt;, Cui, et al (2016)
&lt;doi:10.4049/jimmunol.1502263&gt;.</description><link>https://github.com/r-universe/immcantation/actions/runs/26456196718</link><pubDate>Tue, 26 May 2026 08:50:38 GMT</pubDate><r:package>shazam</r:package><r:version>1.3.2.999</r:version><r:status>success</r:status><r:repository>https://immcantation.r-universe.dev</r:repository><r:upstream>https://github.com/immcantation/shazam</r:upstream><r:article><r:source>DistToNearest-Vignette.Rmd</r:source><r:filename>DistToNearest-Vignette.html</r:filename><r:title>Shazam: Tuning clonal assignment thresholds with nearest neighbor distances</r:title><r:created>2015-02-04 21:12:39</r:created><r:modified>2024-04-02 19:34:07</r:modified></r:article><r:article><r:source>Mutation-Vignette.Rmd</r:source><r:filename>Mutation-Vignette.html</r:filename><r:title>Shazam: Mutation analysis</r:title><r:created>2017-04-03 19:53:02</r:created><r:modified>2023-11-06 13:25:57</r:modified></r:article><r:article><r:source>Baseline-Vignette.Rmd</r:source><r:filename>Baseline-Vignette.html</r:filename><r:title>Shazam: Quantification of selection pressure</r:title><r:created>2015-04-28 18:34:40</r:created><r:modified>2024-04-02 19:34:07</r:modified></r:article><r:article><r:source>Targeting-Vignette.Rmd</r:source><r:filename>Targeting-Vignette.html</r:filename><r:title>Shazam: Inferring SHM targeting models</r:title><r:created>2015-04-25 19:27:21</r:created><r:modified>2024-04-02 19:34:07</r:modified></r:article><r:article><r:source>Shmulate-Vignette.Rmd</r:source><r:filename>Shmulate-Vignette.html</r:filename><r:title>Shazam: Simulating sequence mutations</r:title><r:created>2018-03-16 14:35:11</r:created><r:modified>2026-04-30 11:20:09</r:modified></r:article></item><item><title>[immcantation] scoper 1.5.0.999</title><author>susanna.marquez@yale.edu (Susanna Marquez)</author><description>Provides a computational framework for identification of B
cell clones from Adaptive Immune Receptor Repertoire sequencing
(AIRR-Seq) data. Three main functions are included
(identicalClones, hierarchicalClones, and spectralClones) that
perform clustering among sequences of BCRs/IGs (B cell
receptors/immunoglobulins) which share the same V gene, J gene
and junction length. Nouri N and Kleinstein SH (2018) &lt;doi:
10.1093/bioinformatics/bty235&gt;. Nouri N and Kleinstein SH
(2019) &lt;doi: 10.1101/788620&gt;. Gupta NT, et al. (2017) &lt;doi:
10.4049/jimmunol.1601850&gt;.</description><link>https://github.com/r-universe/immcantation/actions/runs/28673832679</link><pubDate>Mon, 25 May 2026 17:15:59 GMT</pubDate><r:package>scoper</r:package><r:version>1.5.0.999</r:version><r:status>success</r:status><r:repository>https://immcantation.r-universe.dev</r:repository><r:upstream>https://github.com/immcantation/scoper</r:upstream><r:article><r:source>Scoper-Vignette.Rmd</r:source><r:filename>Scoper-Vignette.html</r:filename><r:title>Identifying clones from high-throughput B cell repertoire sequencing data</r:title><r:created>2018-10-04 12:43:02</r:created><r:modified>2026-02-06 21:01:10</r:modified></r:article></item><item><title>[immcantation] alakazam 1.4.3.999</title><author>susanna.marquez@yale.edu (Susanna Marquez)</author><description>Provides methods for high-throughput adaptive immune
receptor repertoire sequencing (AIRR-Seq; Rep-Seq) analysis. In
particular, immunoglobulin (Ig) sequence lineage
reconstruction, lineage topology analysis, diversity profiling,
amino acid property analysis and gene usage. Citations: Gupta
and Vander Heiden, et al (2017)
&lt;doi:10.1093/bioinformatics/btv359&gt;, Stern, Yaari and Vander
Heiden, et al (2014) &lt;doi:10.1126/scitranslmed.3008879&gt;.</description><link>https://github.com/r-universe/immcantation/actions/runs/28087690291</link><pubDate>Fri, 01 May 2026 07:53:08 GMT</pubDate><r:package>alakazam</r:package><r:version>1.4.3.999</r:version><r:status>success</r:status><r:repository>https://immcantation.r-universe.dev</r:repository><r:upstream>https://github.com/immcantation/alakazam</r:upstream><r:article><r:source>AminoAcids-Vignette.Rmd</r:source><r:filename>AminoAcids-Vignette.html</r:filename><r:title>Alakazam: Amino acid physicochemical property analysis</r:title><r:created>2015-12-18 17:56:41</r:created><r:modified>2025-12-15 17:13:43</r:modified></r:article><r:article><r:source>Diversity-Vignette.Rmd</r:source><r:filename>Diversity-Vignette.html</r:filename><r:title>Alakazam: Analysis of clonal abundance and diversity</r:title><r:created>2014-09-30 19:07:23</r:created><r:modified>2026-04-28 10:09:01</r:modified></r:article><r:article><r:source>Fastq-Vignette.Rmd</r:source><r:filename>Fastq-Vignette.html</r:filename><r:title>Alakazam: Using sequencing quality scores</r:title><r:created>2020-11-13 11:46:40</r:created><r:modified>2022-09-19 12:59:43</r:modified></r:article><r:article><r:source>Files-Vignette.Rmd</r:source><r:filename>Files-Vignette.html</r:filename><r:title>Alakazam: How to read and write files</r:title><r:created>2020-11-24 15:50:57</r:created><r:modified>2021-02-01 01:52:29</r:modified></r:article><r:article><r:source>GeneUsage-Vignette.Rmd</r:source><r:filename>GeneUsage-Vignette.html</r:filename><r:title>Alakazam: Gene usage analysis</r:title><r:created>2017-05-01 20:42:19</r:created><r:modified>2025-02-24 10:53:03</r:modified></r:article></item><item><title>[immcantation] tigger 1.1.3</title><author>susanna.marquez@yale.edu (Susanna Marquez)</author><description>Infers the V genotype of an individual from immunoglobulin
(Ig) repertoire sequencing data (AIRR-Seq, Rep-Seq). Includes
detection of any novel alleles. This information is then used
to correct existing V allele calls from among the sample
sequences. Citations: Gadala-Maria, et al (2015)
&lt;doi:10.1073/pnas.1417683112&gt;, Gadala-Maria, et al (2019)
&lt;doi:10.3389/fimmu.2019.00129&gt;.</description><link>https://github.com/r-universe/immcantation/actions/runs/26746728493</link><pubDate>Mon, 13 Apr 2026 19:01:21 GMT</pubDate><r:package>tigger</r:package><r:version>1.1.3</r:version><r:status>success</r:status><r:repository>https://immcantation.r-universe.dev</r:repository><r:upstream>https://github.com/immcantation/tigger</r:upstream><r:article><r:source>Tigger-Vignette.Rmd</r:source><r:filename>Tigger-Vignette.html</r:filename><r:title>Tool for Immunoglobulin Genotype Elucidation via Rep-Seq (TIgGER)</r:title><r:created>2015-02-04 22:12:54</r:created><r:modified>2026-04-13 15:07:21</r:modified></r:article></item></channel></rss>