MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
📚 Tools and databases for analyzing HLA and VDJ genes.
A Python toolkit for flow cytometry analysis supporting GatingML and FlowJo workspaces
Git-based antigen specificity database storage & management.
Analysis of immune repertoire sequencing results
Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
A collaborative review of the emerging COVID-19 literature. Join the chat here:
Generalizable AI predicts immunotherapy outcomes across cancers and treatments
Precision HLA typing from next-generation sequencing data
Stitchr - a Python script to stitch together coding TCR nucleotide sequences from V, J, and CDR3 info
A Python library for reading and writing Flow Cytometry Standard (FCS) files
High-throughput mapping and domain partitioning of antigen receptor sequences
Python package and command line tool for epitope prediction
IGoR is a C++ software designed to infer V(D)J recombination related processes from sequencing data. Find full documentation at:
An interactive web portal for exploring immuno-oncology data. This repo now superseded by iatlas-app
[𝐧𝐚𝐭𝐮𝐫𝐞 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞] ImmunoStruct enables multimodal deep learning for immunogenicity prediction
simpler single cell RNAseq data clustering
A data-centric flow/mass cytometry automated analysis framework
[DEPRECATED, see https://immunarch.com/] tcR: an R package for immune receptor repertoire advanced data analysis.
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