PacRAT
PacRAT improves the accuracy of barcode-variant mapping from PacBio long-read sequencing data by refining read alignment and consensus calling to reduce errors from sequencing artifacts.
Key Features:
- Barcode-variant mapping accuracy: Improves pairing of barcodes with genetic variants in barcoded genetic variant libraries.
- Read alignment refinement: Performs multiple steps of read alignment to refine mapping of long reads.
- Consensus calling: Applies consensus calling to reduce sequencing errors in aligned reads.
- PacBio long-read support: Operates on PacBio long-read sequencing data.
- Sequencing artifact error reduction: Reduces errors arising from sequencing artifacts.
- Validation by simulation: Demonstrated improved precision using simulations on eight variant libraries of varying lengths.
Scientific Applications:
- Barcode-variant association: Assigns barcodes to genetic variants in barcoded variant libraries for downstream genotype-phenotype analyses.
- Analysis of diverse libraries: Evaluates barcode-variant associations across variant libraries of varying lengths and compositions.
- Error correction in PacBio datasets: Mitigates sequencing-artifact errors in analyses of PacBio long-read sequencing data.
Methodology:
Performs multiple steps of read alignment and consensus calling to refine barcode-variant mapping; evaluated by simulations using eight variant libraries of varying lengths.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Windows, Linux
- Programming Languages:
- Python, Shell
- Added:
- 4/9/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Yeh CC, Amorosi CJ, Showman S, Dunham MJ. PacRAT: a program to improve barcode-variant mapping from PacBio long reads using multiple sequence alignment. Bioinformatics. 2022;38(10):2927-2929. doi:10.1093/bioinformatics/btac165. PMID:35561209. PMCID:PMC9306489.
PMID: 35561209
PMCID: PMC9306489
Funding: - National Institute of General Medical Sciences of the National Institutes of Health: R01 GM101091, R01 GM132162
- National Human Genome Research Institute of the NIH: T32 HG00035
- National Science Foundation Graduate Research Fellowships Program: DGE-1762114