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immLynx

Linking Advanced TCR Python Pipelines and Hugging Face Models in R

Bioconductor version: 3.23 · Package version: 1.0.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

A comprehensive toolkit that bridges popular Python-based immune repertoire analysis tools and Hugging Face protein language models into the R environment. Provides unified interfaces for TCR distance calculations (tcrdist3), sequence generation probability (OLGA), selection inference (soNNia), clustering (clusTCR), protein embeddings (ESM-2), metaclone discovery (metaclonotypist). Fully compatible with the scRepertoire and immApex ecosystem for single-cell immune repertoire analysis.

DOI: 10.18129/B9.bioc.immLynx

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("immLynx")

Details

MaintainerNick Borcherding <ncborch@gmail.com>
AuthorNick Borcherding [aut, cre] (ORCID: <https://orcid.org/0000-0003-1427-6342>)
LicenseMIT + file LICENSE
URLhttps://github.com/BorchLab/immLynx/
Bug Reportshttps://github.com/BorchLab/immLynx/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsAnnotation, Classification, Clustering, DimensionReduction, ImmunoOncology, MotifAnnotation, Sequencing, SingleCell, Software
Package Short Url https://bioconductor.org/packages/immLynx/

Citation

From within R, enter citation("immLynx"):

Nick Borcherding. immLynx: Linking Advanced TCR Python Pipelines and Hugging Face Models in R. doi:10.18129/B9.bioc.immLynx, R package version 1.0.0, https://bioconductor.org/packages/immLynx.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageimmLynx_1.0.0.tar.gz
Windows binary (x86_64)immLynx_1.0.0.zip
macOS binary (arm64)immLynx_1.0.0.tgz
macOS binary (x86_64)immLynx_1.0.0.tgz
Dependencies

Depends: R (>= 4.5.0)

Imports: basilisk (>= 1.8.0), reticulate (>= 1.24), immApex, methods, S4Vectors, SingleCellExperiment, stats, SummarizedExperiment, utils

Suggests: BiocStyle, ggplot2, knitr, markdown, rmarkdown, scater, scran, scRepertoire, spelling, testthat (>= 3.0.0), withr