| Name : R-ClusTCR2
| |
| Version : 1.7.3.01
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 12:05:59
|
| Group : Development/Libraries/Other
| Source RPM : R-ClusTCR2-1.7.3.01-lp153.2.2.src.rpm
|
| Size : 0.44 MB
| |
| Packager : (none)
| |
| Summary : Identifying Similar T Cell Receptor Hyper-Variable Sequences with \'ClusTCR2\'
|
Description :
Enhancing T cell receptor (TCR) sequence analysis, \'ClusTCR2\', based on
\'ClusTCR\' python program, leverages Hamming distance to compare the
complement-determining region three (CDR3) sequences for sequence
similarity, variable gene (V gene) and length. The second step employs
the Markov Cluster Algorithm to identify clusters within an undirected
graph, providing a summary of amino acid motifs and matrix for
generating network plots. Tailored for single-cell RNA-seq data with
integrated TCR-seq information, \'ClusTCR2\' is integrated into the
Single Cell TCR and Expression Grouped Ontologies (STEGO) R application
or \'STEGO.R\'. See the two publications for more details. Sebastiaan
Valkiers, Max Van Houcke, Kris Laukens, Pieter Meysman (2021)
< doi:10.1093/bioinformatics/btab446>, Kerry A. Mullan, My Ha,
Sebastiaan Valkiers, Nicky de Vrij, Benson Ogunjimi, Kris Laukens,
Pieter Meysman (2023) < doi:10.1101/2023.09.27.559702>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
