bioBakery

bioBakery processes raw shotgun metagenomic sequencing data to generate microbial community taxonomic and functional profiles for microbiome analysis.


Key Features:

  • Modular Meta’omic Analysis Suite: Provides multiple specialized modules for tasks including quantitative taxonomic profiling and statistical analysis of microbial community data.
  • Integrated Reproducible Workflows: Combines analysis modules into standardized workflows for consistent and reproducible processing of meta’omic datasets.
  • Scalable Computational Deployment: Supports execution as individual modules or integrated environments across local systems and scalable computing infrastructures.
  • Comprehensive Meta’omic Data Processing: Converts raw shotgun sequencing reads into microbial community feature profiles, summary reports, and analytical outputs.

Scientific Applications:

  • Microbiome Community Profiling: Characterizes taxonomic composition of microbial communities from shotgun metagenomic data.
  • Microbial Functional Analysis: Infers metabolic and functional potential of microbial communities through functional annotation.
  • Microbial Ecology and Host–Microbe Studies: Supports investigation of microbial community structure, dynamics, and host-associated microbiomes.

Methodology:

bioBakery processes raw shotgun sequencing data through modular workflows that perform taxonomic profiling, functional annotation, and statistical analysis to produce microbial community feature profiles.

Topics

Details

Tool Type:
workflow
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R, Python
Added:
6/24/2018
Last Updated:
11/25/2024

Operations

Publications

McIver LJ, Abu-Ali G, Franzosa EA, Schwager R, Morgan XC, Waldron L, Segata N, Huttenhower C. bioBakery: a meta’omic analysis environment. Bioinformatics. 2017;34(7):1235-1237. doi:10.1093/bioinformatics/btx754. PMID:29194469. PMCID:PMC6030947.

PMID: 29194469
PMCID: PMC6030947
Funding: - National Institutes of Health: ARO W911NF-11-1-0473, DBI-1053486, JDRF 3-SRA-2016-141-Q-R, R01HG005220, R01HG005969, U54DE023798

Documentation