BRAPeS
BRAPeS reconstructs B cell receptor (BCR) sequences from short-read paired-end single-cell RNA-sequencing data to enable analysis of B cell state and receptor specificity.
Key Features:
- High accuracy and success rate: Reconstructs BCR sequences with high accuracy from very short reads, including read lengths as short as 25 base pairs.
- Short-read paired-end optimization: Operates on paired-end single-cell RNA-sequencing data and is optimized to recover full-length BCR sequences from short reads.
- Cost-effectiveness and scalability: Uses short-read sequencing to reduce per-cell sequencing cost and enable analysis of larger numbers of cells in single-cell experiments.
Scientific Applications:
- Single-cell analysis: Enables characterization of individual B cells by linking cellular state with reconstructed receptor sequences at the single-cell level.
- Immunological research: Facilitates studies of BCR diversity and clonality relevant to immune responses, vaccine development, and autoimmune disease research.
Methodology:
BRAPeS leverages paired-end short-read single-cell RNA-sequencing data to reconstruct full-length BCR sequences, with methods optimized for short reads down to 25 base pairs.
Topics
Details
- License:
- Other
- Maturity:
- Emerging
- Cost:
- Free of charge (with restrictions)
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 6/22/2019
- Last Updated:
- 7/29/2019
Operations
Publications
Afik S, Raulet G, Yosef N. Reconstructing B cell receptor sequences from short-read single cell RNA-sequencir with BRAPeS. Unknown Journal. 2018. doi:10.1101/389999.
DOI: 10.1101/389999
Documentation
Downloads
- Source codehttps://github.com/YosefLab/BRAPeS
Links
Issue tracker
https://github.com/YosefLab/BRAPeS/issues