jbreynier

The University of Chicago

Pinned Repositories

arcasHLA
Fast and accurate in silico inference of HLA genotypes from RNA-seq
Language:Python00
arcasHLA-quant_docker
Dockerfile for arcasHLA-quant
Language:Dockerfile0 1 00
chord_docker
Language:Dockerfile00
CINSignatureQuantification_mm10
Quantifying copy number signatures from absolute copy number profiles
Language:R00
COMIRI_docker
Dockerfiles for COMIRI
Language:Dockerfile0 1 00
manta_modified
Language:Dockerfile00
meerkat_docker
Language:Dockerfile00
motif_enrichment
Language:Python1 2 01
stroke_prediction
Language:Jupyter Notebook00
COMIRI
Language:Jupyter Notebook2 2 00

jbreynier's Repositories

jbreynier/motif_enrichment
Language:Python1 2 01
jbreynier/arcasHLA
Fast and accurate in silico inference of HLA genotypes from RNA-seq
Language:Python00
jbreynier/arcasHLA-quant_docker
Dockerfile for arcasHLA-quant
Language:Dockerfile0 1 00
jbreynier/chord_docker
Language:Dockerfile00
jbreynier/CINSignatureQuantification_mm10
Quantifying copy number signatures from absolute copy number profiles
Language:R00
jbreynier/COMIRI_docker
Dockerfiles for COMIRI
Language:Dockerfile0 1 00
jbreynier/manta_modified
Language:Dockerfile00
jbreynier/meerkat_docker
Language:Dockerfile00
jbreynier/stroke_prediction
Language:Jupyter Notebook00
jbreynier/swgs-absolutecn-mm10
Pipeline for the generation of absolute copy number profiles from shallow whole genome sequencing data (mm10)
Language:R00
jbreynier/tcr-bert
Large language modeling applied to T-cell receptor (TCR) sequences.
jbreynier/tcr_aligner
Language:Jupyter Notebook
jbreynier/trust4_docker
Language:Dockerfile