Package: tripr 1.13.0

Nikolaos Pechlivanis

tripr: T-cell Receptor/Immunoglobulin Profiler (TRIP)

TRIP is a software framework that provides analytics services on antigen receptor (B cell receptor immunoglobulin, BcR IG | T cell receptor, TR) gene sequence data. It is a web application written in R Shiny. It takes as input the output files of the IMGT/HighV-Quest tool. Users can select to analyze the data from each of the input samples separately, or the combined data files from all samples and visualize the results accordingly.

Authors:Maria Th. Kotouza [aut], Katerina Gemenetzi [aut], Chrysi Galigalidou [aut], Elisavet Vlachonikola [aut], Nikolaos Pechlivanis [cre], Andreas Agathangelidis [aut], Raphael Sandaltzopoulos [aut], Pericles A. Mitkas [aut], Kostas Stamatopoulos [aut], Anastasia Chatzidimitriou [aut], Fotis E. Psomopoulos [aut], Iason Ofeidis [aut], Aspasia Orfanou [aut]

tripr_1.13.0.tar.gz
tripr_1.13.0.zip(r-4.5)tripr_1.13.0.zip(r-4.4)tripr_1.13.0.zip(r-4.3)
tripr_1.13.0.tgz(r-4.4-any)tripr_1.13.0.tgz(r-4.3-any)
tripr_1.13.0.tar.gz(r-4.5-noble)tripr_1.13.0.tar.gz(r-4.4-noble)
tripr_1.13.0.tgz(r-4.4-emscripten)tripr_1.13.0.tgz(r-4.3-emscripten)
tripr.pdf |tripr.html✨
tripr/json (API)
NEWS

# Install 'tripr' in R:

install.packages('tripr', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/biodataanalysisgroup/tripr/issues

On BioConductor:tripr-1.13.0(bioc 3.21)tripr-1.12.0(bioc 3.20)

batcheffect multiplecomparison geneexpression immunooncology targetedresequencing bioconductor clonotype

5.48 score 2 stars 4 scripts 136 downloads 2 exports 93 dependencies

Last updated 23 days agofrom:138f3c99fc. Checks:OK: 1 WARNING: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 31 2024
R-4.5-win	WARNING	Oct 31 2024
R-4.5-linux	WARNING	Oct 31 2024
R-4.4-win	WARNING	Oct 31 2024
R-4.4-mac	WARNING	Oct 31 2024
R-4.3-win	WARNING	Oct 31 2024
R-4.3-mac	WARNING	Oct 31 2024

Exports:run_app run_TRIP

Dependencies:askpass attempt base64enc bslib cachem cli cluster colorspace commonmark config cpp11 crayon crosstalk curl data.table digest dplyr DT evaluate fansi farver fastmap fontawesome fs generics ggplot2 glue golem gridExtra gtable here highr htmltools htmlwidgets httpuv httr isoband jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle magrittr MASS Matrix memoise mgcv mime misc3d munsell nlme openssl permute pillar pkgconfig plot3D plotly plyr promises purrr R6 rappdirs RColorBrewer Rcpp rlang rmarkdown rprojroot sass scales shiny shinyBS shinyFiles shinyjs sourcetools stringdist stringi stringr sys tibble tidyr tidyselect tinytex utf8 vctrs vegan viridisLite withr xfun xtable yaml

tripr User Guide

Maria Th. Kotouza, Katerina Gemenetzi, Chrysi Galigalidou, Elisavet Vlachonikola, Nikolaos Pechlivanis, Andreas Agathangelidis, Raphael Sandaltzopoulos, Pericles A. Mitkas, Kostas Stamatopoulos, Anastasia Chatzidimitriou, Fotis E. Psomopoulos

Rendered fromtripr_guide.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-10-07
Started: 2021-08-23