Exploring the functional composition of the human microbiome using a hand-curated microbial trait database

Abstract

Even when microbial communities vary wildly in their taxonomic composition, their functional composition is often surprisingly stable. This suggests that a functional perspective could provide much deeper insight into the principles governing microbiome assembly. Much work to date analyzing the functional composition of microbial communities, however, relies heavily on inference from genomic features. Unfortunately, output from these methods can be hard to interpret and often suffers from relatively high error rates.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 07, 2021
Source ID
10.1186/s12859-021-04216-2

Entities

People

  • Cyrus Davati
  • David K. Karig
  • Florian P Breitwieser
  • J. L. Weissman
  • Jess Beattie
  • Keshav Dixit
  • Keyan Javadi
  • Peter Thielen
  • Philip L F Johnson
  • Rachel Flint
  • Samantha Bolten
  • Sharon Bewick
  • Shehar Awan
  • Sonia Dogra
  • Tejasvi Peesay
  • William F. Fagan

Organizations

  • United States Army Research Laboratory

Tags

Fields of Study

  • Biology

Readers

  • Microbial Pathology
  • Rocket Propulsion.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology