Identifying biologically relevant differences between metagenomic communities
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Abstract
MOTIVATION: Metagenomics is the study of genetic material recovered directly from environmental samples. Taxonomic and functional differences between metagenomic samples can highlight the influence of ecological factors on patterns of microbial life in a wide range of habitats. Statistical hypothesis tests can help us distinguish ecological influences from sampling artifacts, but knowledge of only the P-value from a statistical hypothesis test is insufficient to make inferences about biological relevance. Current reporting practices for pairwise comparative metagenomics are inadequate, and better tools are needed for comparative metagenomic analysis. RESULTS: We have developed a new software package, STAMP,…
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2Topics & keywords
Topics
Keywords
- Metagenomics
- Software
- Biology
- Ecology
- Pairwise comparison
- Computer science
- Computational biology
- Data science
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