Raychaudhuri Lab (immunogenomics)

Raychaudhuri Lab

immunogenomics

Geek Repo

Location:Boston, MA, USA

Home Page:http://immunogenomics.hms.harvard.edu/

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Raychaudhuri Lab's repositories

harmony

Fast, sensitive and accurate integration of single-cell data with Harmony

Language:RLicense:NOASSERTIONStargazers:490Issues:27Issues:213

presto

Fast Wilcoxon and auROC

Language:Jupyter NotebookStargazers:130Issues:14Issues:24

symphony

Efficient and precise single-cell reference atlas mapping with Symphony

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:92Issues:16Issues:47

cna

Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-cell datasets.

Language:PythonLicense:GPL-3.0Stargazers:45Issues:3Issues:15

HLA-TAPAS

HLA-TAPAS pipeline for HLA association and fine-mapping studies

Language:Jupyter NotebookStargazers:43Issues:16Issues:23

HLA_analyses_tutorial

A thorough tutorial on HLA imputation and association, accompanying our manuscript "Tutorial: A statistical genetics guide to identifying HLA alleles driving complex disease"

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:41Issues:14Issues:4

SCENT

Single-Cell ENhancer Target gene mapping using multimodal data with ATAC + RNA

Language:RLicense:NOASSERTIONStargazers:33Issues:13Issues:3

IMPACT

Code for creating cell-type-specific regulatory element annotation files

Language:RLicense:GPL-3.0Stargazers:17Issues:12Issues:8

scHLApers

Code to run the scHLApers pipeline for personalized single-cell HLA quantification

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:16Issues:14Issues:1

cdr3-QTL

Trans-association between HLA and TCR-CDR3

singlecellmethods

Collection of useful methods for single cell analysis

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:13Issues:13Issues:2

sceQTL

Code for single-cell eQTL analysis of memory T cell data in Nathan, et al. bioRxiv (2021)

Language:RLicense:GPL-3.0Stargazers:11Issues:12Issues:0

TiRP

code repository for Lagattuta et al. "Repertoire analyses reveal T cell receptor sequence features that influence T cell fate." Nat. Imm. (2022)

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:11Issues:12Issues:2
Language:PythonLicense:NOASSERTIONStargazers:9Issues:15Issues:2

RA_Atlas_CITEseq

RA Synovial Single-cell Multimodal Cell Atlas

Language:Jupyter NotebookStargazers:8Issues:12Issues:0

RA_GWAS

Trans-ancestry GWAS of rheumatoid arthritis

Language:Jupyter NotebookStargazers:7Issues:13Issues:1
Language:RLicense:NOASSERTIONStargazers:6Issues:12Issues:0

GeNA

Genotype-Neighborhood Associations: A tool for identifying genetic variant associations to the abundance of cell states in single-cell datasets

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:4Issues:12Issues:1

hla2023

Code for mapping single-cell eQTLs for HLA genes across four cohorts

Language:Jupyter NotebookStargazers:4Issues:12Issues:0
Language:Jupyter NotebookStargazers:4Issues:12Issues:0

GeNA-applied

Code and analyses supporting the GeNA single-cell csaQTL manuscript.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:1Issues:12Issues:0

PAUSE_eQTL

Code for dynamic eQTL analysis of PAUSE trial

Language:RLicense:GPL-3.0Stargazers:1Issues:12Issues:0

RA_ATAC_multiome

Code corresponding to Weinand*, Sakaue* et al., The Chromatin Landscape of Pathogenic Transcriptional Cell States in Rheumatoid Arthritis, In Prep., 2023

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:1Issues:13Issues:0

TteK

TteK (Granzyme K+ CD8 T cells): the core population of inflamed human tissue-associated CD8 T cells

Language:Jupyter NotebookStargazers:1Issues:13Issues:0

reQTL

Mapping of response eQTL in single cells

Language:RStargazers:0Issues:12Issues:0

1K1K_QC

Additional quality control applied to the published OneK1K dataset

License:GPL-3.0Stargazers:0Issues:12Issues:0

minecraft-seq

Code for analysis of MINECRAFT-seq data

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

mod-cna

CNA package with the incorporation of modifications to illustrate and address confounding by cell count.

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

tcrpheno_analysis

Code for analysis of TCR and T cell state data in Lagattuta, et al. bioRxiv (2023)

Language:Jupyter NotebookLicense:MITStargazers:0Issues:12Issues:0