Scirpy
Scirpy analyzes T cell receptor (TCR) and B cell receptor (BCR) repertoires from single-cell RNA sequencing (scRNA-seq) data and integrates immune-receptor information with transcriptomic profiles to characterize immune repertoires.
Key Features:
- Integration with Scanpy: Provides an extension to the Scanpy framework to integrate immune-receptor data with single-cell transcriptomic workflows.
- Data import and receptor characterization: Includes modules for efficient import of single-cell immune-receptor data and comprehensive characterization of TCRs and BCRs.
- Visualization capabilities: Offers visualization functions to explore immune repertoires at single-cell and population levels.
- Scalability: Supports analysis of large-scale single-cell sequencing datasets typical of high-throughput studies.
Scientific Applications:
- Cancer research: Enables detailed characterization of TCR repertoires and analysis of tumor-infiltrating lymphocytes within single-cell datasets.
- Infectious disease studies: Facilitates investigation of single-cell immune responses to pathogens, including applications to COVID-19 immune profiling.
Methodology:
Combines immune receptor sequencing with transcriptomic scRNA-seq data for joint analysis and provides a streamlined computational pipeline specifically tailored to TCR and BCR analysis.
Topics
Details
- License:
- BSD-3-Clause
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 2/13/2021
Operations
Publications
Sturm G, Szabo T, Fotakis G, Haider M, Rieder D, Trajanoski Z, Finotello F. Scirpy: A Scanpy extension for analyzing single-cell T-cell receptor sequencing data. Unknown Journal. 2020. doi:10.1101/2020.04.10.035865.
Documentation
Training material
https://icbi-lab.github.io/scirpy/tutorials.html