HUMAnN2

HUMAnN2 profiles the functional potential and activity of microbial communities from metagenomic and metatranscriptomic short-read sequencing data, quantifying gene families and metabolic pathways with species-level resolution.


Key Features:

  • Tiered search strategy: Implements a tiered search strategy that maps reads to species pangenomes before performing translated searches on unclassified reads to improve speed and specificity.
  • Species identification: Identifies known species present in the microbial community.
  • Pangenome alignment: Aligns reads against the pangenomes of identified species.
  • Translated search on unclassified reads: Performs translated (protein-level) searches on reads that remain unclassified after pangenome alignment.
  • Gene family and pathway quantification: Quantifies gene families and metabolic pathways to define functional potential and activity.
  • Species-resolved profiling: Resolves gene family and pathway abundances to individual species within the community.
  • Improved accuracy versus translated-only methods: Enhances accuracy of gene family profiles and accelerates profiling compared to pure translated search approaches.
  • Support for sequencing reads: Operates on metagenomic and metatranscriptomic short DNA/RNA reads.
  • Contributional diversity: Introduces the concept of "contributional diversity" to assess taxonomic contributions to pathway-level functions.

Scientific Applications:

  • Marine metabolism clinal variation: Used to study clinal variation in marine metabolism.
  • Human microbiome pathway contributions: Analyzes ecological contribution patterns among human microbiome pathways.
  • Genomic versus transcriptional contributions: Investigates differences between genomic and transcriptional contributions of different species.
  • Strain profiling: Enables strain profiling within microbial communities.
  • Ecological assembly analysis: Explores patterns of ecological assembly across diverse microbial community types using contributional diversity.

Methodology:

Uses a tiered computational workflow of species identification, alignment of reads to species pangenomes, translated searches on unclassified reads, and quantification of gene families and metabolic pathways.

Details

Added:
7/6/2021
Last Updated:
11/24/2024

Operations

Publications

Franzosa EA, McIver LJ, Rahnavard G, Thompson LR, Schirmer M, Weingart G, Lipson KS, Knight R, Caporaso JG, Segata N, Huttenhower C. Species-level functional profiling of metagenomes and metatranscriptomes. Nature Methods. 2018;15(11):962-968. doi:10.1038/s41592-018-0176-y. PMID:30377376. PMCID:PMC6235447.