bioc-issue-bot
commented
1 year ago Hi @snaketron
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: ClustIRR
Type: Package
Title: Clustering of immune receptor repertoires
Version: 0.99.0
Authors@R: c(
person("Simo", "Kitanovski", email = "simo.kitanovski@uni-due.de",
role = c("aut", "cre"), comment=c(ORCID="0000-0003-2909-5376")),
person("Kai", "Wollek", email = "kai.wollek@uni-duisburg-essen.de",
role = c("aut"), comment=c(ORCID="0009-0008-5941-9160")))
Description: ClustIRR is a quantitative method for clustering of immune
receptor repertoires (IRRs).
The algorithm of ClustIRR finds groups of T or B cell receptors (TCRs or
BCRs) that likely have similar specificity.
This is achieved by comparing the global and local sequence features of
complementarity determining regions (CDRs).
Once the specificity groups are identified, ClustIRR visualizes them as
using graphs.
License: GPL-3 + file LICENSE
LazyData: false
Depends:
R (>= 4.2.0)
Imports:
stringdist,
future,
future.apply,
methods,
stats,
utils,
igraph,
visNetwork
Suggests:
BiocStyle,
knitr,
testthat,
ggplot2,
patchwork,
ggrepel
Encoding: UTF-8
NeedsCompilation: no
biocViews: Clustering, ImmunoOncology, SingleCell, Software, Classification
RoxygenNote: 7.2.3
VignetteBuilder: knitr
URL: https://github.com/snaketron/ClustIRR
BugReports: https://github.com/snaketron/ClustIRR/issues
jianhong
snaketron
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