GATK PathSeq
GATK PathSeq identifies and characterizes microbial sequences in DNA and RNA short-read sequencing libraries from eukaryotic hosts, operating within the Genome Analysis Toolkit (GATK).
Key Features:
- Microbial Composition Reporting: Reports the microbial composition of DNA and RNA short-read sequencing samples, identifies known and unknown microbial sequences, and facilitates downstream assembly of novel organisms.
- Rapid Analysis: Performs sample analysis in a matter of minutes.
- Robust Parallelization: Built on the GATK engine and leveraging Apache Spark, PathSeq performs parallel read quality filtering, host subtraction, and microbial alignment across workstation, cluster, or cloud environments.
- Configurable Tools: Provides configurable tools within the GATK suite to tailor analysis parameters to specific experimental needs.
Scientific Applications:
- Microbiome profiling: Enables characterization of microbial diversity within eukaryotic hosts from sequencing libraries.
- Pathogen identification: Supports identification of pathogenic organisms in host-derived DNA and RNA sequencing data.
- Symbiosis studies: Facilitates exploration of symbiotic relationships between microbes and their eukaryotic hosts.
- Host–microbiome interaction: Enables investigation of the impact of microbial communities on host biology.
- Novel organism discovery: Supports assembly and discovery of previously uncharacterized microbial organisms from unknown sequences.
Methodology:
Applies read quality filtering, host sequence subtraction, and alignment of reads against known microbial databases.
Topics
Details
- License:
- BSD-3-Clause
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- R, Java, Python
- Added:
- 7/6/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Walker MA, Pedamallu CS, Ojesina AI, Bullman S, Sharpe T, Whelan CW, Meyerson M. GATK PathSeq: a customizable computational tool for the discovery and identification of microbial sequences in libraries from eukaryotic hosts. Bioinformatics. 2018;34(24):4287-4289. doi:10.1093/bioinformatics/bty501. PMID:29982281. PMCID:PMC6289130.
Documentation
Downloads
Links
Issue tracker
https://github.com/broadinstitute/gatk/issuesRepository
https://software.broadinstitute.org/gatk(Official code repository for GATK versions 4 and up)