{ "_id": "6ae1af9d95ca2370cc8cb4bf", "Package": "immLynx", "Title": "Linking Advanced TCR Python Pipelines and Hugging Face Models in\nR", "Version": "1.1.3", "Authors@R": "c(\nperson(given = \"Nick\", family = \"Borcherding\", role = c(\"aut\", \"cre\"),\nemail = \"ncborch@gmail.com\",\ncomment = c(ORCID = \"0000-0003-1427-6342\")))", "Description": "A comprehensive toolkit that bridges popular Python-based\nimmune repertoire analysis tools and Hugging Face protein\nlanguage models into the R environment. Provides unified\ninterfaces for TCR distance calculations (tcrdist3), sequence\ngeneration probability (OLGA), selection inference (soNNia),\nclustering (clusTCR), protein embeddings (ESM-2), metaclone\ndiscovery (metaclonotypist), clonal expansion prediction from\ngene expression (scXpand), near-neighbor search by symmetric\ndeletion lookup (pyrepseq), and deep generative featurization\n(DeepTCR). 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