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.