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

Repository
https://software.broadinstitute.org/gatk
(Official code repository for GATK versions 4 and up)