Scirpy: a Scanpy extension for analyzing single-cell T-cell receptor-sequencing data.
Bioinformatics
; 36(18): 4817-4818, 2020 09 15.
Article
in En
| MEDLINE
| ID: mdl-32614448
ABSTRACT
SUMMARY:
Advances in single-cell technologies have enabled the investigation of T-cell phenotypes and repertoires at unprecedented resolution and scale. Bioinformatic methods for the efficient analysis of these large-scale datasets are instrumental for advancing our understanding of adaptive immune responses. However, while well-established solutions are accessible for the processing of single-cell transcriptomes, no streamlined pipelines are available for the comprehensive characterization of T-cell receptors. Here, we propose single-cell immune repertoires in Python (Scirpy), a scalable Python toolkit that provides simplified access to the analysis and visualization of immune repertoires from single cells and seamless integration with transcriptomic data. AVAILABILITY AND IMPLEMENTATION Scirpy source code and documentation are available at https//github.com/icbi-lab/scirpy. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Software
/
Computational Biology
Language:
En
Journal:
Bioinformatics
Journal subject:
INFORMATICA MEDICA
Year:
2020
Type:
Article
Affiliation country:
Austria