BASIC
Computational Tool
FAIR Metrics
0 evaluations
General Information
DescriptionBCR assembly from single cells
Homepagehttp://ttic.uchicago.edu/∼aakhan/BASIC
Publications
BASIC: BCR assembly from single cells
Stefan Canzar; Karlynn E. Neu; Qingming Tang; Patrick C. Wilson; Aly A. Khan
Motivation: The B-cell receptor enables individual B cells to identify diverse antigens, including bacterial and viral proteins. While advances in RNA-sequencing (RNA-seq) have enabled high throughput profiling of transcript expression in single cells, the unique task of assembling the full-length heavy and light chain sequences from single cell RNA-seq (scRNA-seq) in B cells has been largely unstudied.
Results: We developed a new software tool, BASIC, which allows investigators to use scRNA-seq for assembling BCR sequences at single-cell resolution. To demonstrate the utility of our software, we subjected nearly 200 single human B cells to scRNA-seq, assembled the full-length heavy and the light chains, and experimentally confirmed these results by using single-cell primer-based nested PCRs and Sanger sequencing.
Availability and Implementation: http://ttic.uchicago.edu/∼aakhan/BASIC
Contact: aakhan@ttic.edu
Supplementary information: Supplementary data are available at Bioinformatics online.
Metrics:
Canned Analyses generated by the tool
There are no indexed analyses by this tool at the moment.
Datasets analyzed by the tool
There are no indexed analyses by this tool at the moment.
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.