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Title: Integrating biological knowledge for mechanistic inference in the host-associated microbiome

Journal Article · · Frontiers in Microbiology
 [1];  [1];  [1];  [1];  [2];  [1];  [3];  [1];  [1]
  1. University of Colorado, Aurora, CO (United States). School of Medicine
  2. Univ. of Colorado, Boulder, CO (United States)
  3. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Advances in high-throughput technologies have enhanced our ability to describe microbial communities as they relate to human health and disease. Alongside the growth in sequencing data has come an influx of resources that synthesize knowledge surrounding microbial traits, functions, and metabolic potential with knowledge of how they may impact host pathways to influence disease phenotypes. These knowledge bases can enable the development of mechanistic explanations that may underlie correlations detected between microbial communities and disease. In this review, we survey existing resources and methodologies for the computational integration of broad classes of microbial and host knowledge. We evaluate these knowledge bases in their access methods, content, and source characteristics. We discuss challenges of the creation and utilization of knowledge bases including inconsistency of nomenclature assignment of taxa and metabolites across sources, whether the biological entities represented are rooted in ontologies or taxonomies, and how the structure and accessibility limit the diversity of applications and user types. We make this information available in a code and data repository at: https://github.com/lozuponelab/knowledge-source-mappings. Addressing these challenges will allow for the development of more effective tools for drawing from abundant knowledge to find new insights into microbial mechanisms in disease by fostering a systematic and unbiased exploration of existing information.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC02-05CH11231; AC02-06CH11357; AC02-98CH10886; AC05-00OR22725
OSTI ID:
2470750
Journal Information:
Frontiers in Microbiology, Journal Name: Frontiers in Microbiology Vol. 15; ISSN 1664-302X
Publisher:
Frontiers Research FoundationCopyright Statement
Country of Publication:
United States
Language:
English

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