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