humann

humann (HUMAnN 3) profiles the functional potential and activity of microbial communities by producing pathway presence/absence and abundance estimates from metagenomic or metatranscriptomic sequencing data.


Key Features:

  • Input data types: Processes metagenomic and metatranscriptomic sequencing data for community-level functional profiling.
  • Pathway quantification: Determines presence/absence and quantifies the abundance of microbial pathways to infer metabolic potential and activity.
  • Reference-based profiling: Leverages a comprehensive set of reference sequences, including the latest microbial reference genomes and strain-level diversity, to refine functional assignments.
  • Integration with taxonomic and strain tools: Integrates with MetaPhlAn 3 for taxonomic profiling and StrainPhlAn 3 for strain-level analysis as part of the bioBakery 3 suite.
  • Multi-omics support: Enables comparative functional analyses across metagenomes and metatranscriptomes for multi-omic studies.

Scientific Applications:

  • Functional potential inference: Elucidates the metabolic potential and activities of microbial communities to address what microbes in a community are doing or capable of doing.
  • Colorectal cancer studies: Applied to identify functional microbiome links in colorectal cancer (CRC) using 1262 metagenomes.
  • Inflammatory bowel disease profiling: Applied to inflammatory bowel disease (IBD) using 1635 metagenomes and 817 metatranscriptomes.
  • Species- and strain-level analysis: Resolved phylogenetic and functional structure of Ruminococcus bromii beyond what was known from limited isolate genomes.

Methodology:

Computationally, HUMAnN 3 executes a functional profiling pipeline on metagenomic or metatranscriptomic sequencing data to determine pathway presence/absence and abundance, leveraging comprehensive reference sequences and strain-level reference genomes and integrating taxonomic profiling from MetaPhlAn 3 and strain analysis from StrainPhlAn 3.

Topics

Collections

Details

License:
MIT
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Programming Languages:
Python
Added:
3/29/2023
Last Updated:
11/24/2024

Operations

Publications

Beghini F, McIver LJ, Blanco-Míguez A, Dubois L, Asnicar F, Maharjan S, Mailyan A, Manghi P, Scholz M, Thomas AM, Valles-Colomer M, Weingart G, Zhang Y, Zolfo M, Huttenhower C, Franzosa EA, Segata N. Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3. eLife. 2021;10. doi:10.7554/elife.65088. PMID:33944776. PMCID:PMC8096432.

PMID: 33944776
PMCID: PMC8096432
Funding: - H2020 European Research Council: 716575 - Ministero dell’Istruzione, dell’Università e della Ricerca: RBFR13EWWI_001 - H2020 Health: 825410 - H2020 Food: 818368 - National Institutes of Health: 1U01CA230551 - National Institute of Diabetes and Digestive and Kidney Diseases: R24DK110499 and U54DE023798 - Cancer Research UK: C10674/A27140 - Juvenile Diabetes Research Foundation United States of America: 3-SRA-2016-141-Q-R - National Human Genome Research Institute: R01HG005220

Documentation

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