https://github.com/immunogenomics/tb_tcell_citeseq
Code for analysis of memory T cell CITE-seq data
https://github.com/immunogenomics/tb_tcell_citeseq
Last synced: 10 months ago
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Code for analysis of memory T cell CITE-seq data
- Host: GitHub
- URL: https://github.com/immunogenomics/tb_tcell_citeseq
- Owner: immunogenomics
- License: gpl-3.0
- Created: 2021-04-05T20:45:53.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2021-05-11T02:46:56.000Z (about 5 years ago)
- Last Synced: 2025-06-27T18:43:22.287Z (12 months ago)
- Language: R
- Homepage:
- Size: 56.6 KB
- Stars: 6
- Watchers: 10
- Forks: 4
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# CITE-seq of memory T cells from a TB progression cohort
*TBRU LIMAA*
## Overview
This repo provides code used for custom analyses of CITE-seq data from a TB progression cohort at immune steady state to identify a cell state reduced in people who had progressed to active disease. If you are interested in code for any additional analyses from our study, please contact us at aparnanathan@g.harvard.edu
The published paper can soon be viewed and cited:
> Nathan A, et al, 2021. Multimodally profiling memory T cells from a tuberculosis cohort identifies cell state associations with demographics, environment and disease. [Nature Immunology](https://www.doi.org/10.1038/s41590-021-00933-1), in press.
## Data availability
Single-cell data are availale on GEO (Accession: GSE158769) and can be interactively browsed on [our website](https://immunogenomics.io/tbru/).
Please send any questions regarding the study, data, or analyses to Aparna Nathan (aparnanathan@g.harvard.edu).