🧬 immunarch [R package] – Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires

🦠 Regularly updated list of publicly available datasets with single-cell (scRNAseq) and T-cell/antibody immune repertoire (AIRR / RepSeq / immunosequencing) data of COVID-19 patients with SARS-CoV-2.

Generalizable AI predicts immunotherapy outcomes across cancers and treatments

pTuneos: prioritizing Tumor neoantigen from next-generation sequencing data

TIGS (Tumor Immunogenicity Score) project https://doi.org/10.7554/eLife.49020

IRIS: Isoform peptides from RNA splicing for Immunotherapy target Screening

MSIsensor-RNA: Microsatellite instability detection using RNA sequencing data

Snakemake-based computational workflow for neoantigen prediction from diverse sources

Multifactorial modeling of response to checkpoint inhibitor immunotherapy from tumor, immune, and clinical features

Pan-cancer quantification of neoantigen-mediated immunoediting in cancer evolution

A machine learning based method for predicting, scanning and mapping allergenic regions in an allergen

Analysis of single-cell RNA-seq data from patients with immunotherapy-related colitis.

A poster showing TIGS project at BioForum2019, ShanghaiTech University

A classifier for tumor microenvironment subtype based on ensemble machine learning models

neoantigen depletion checking and detection

A Community Curated Immune Resource Database in R format

Web Companion for Generalizable AI predicts immunotherapy outcomes across cancers and treatments

Snakemake workflow for the detection of vector insertion sites (VIS) in long-read sequencing data

Slides for presentations by ImmunoMind team