SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:oru-72041"
 

Search: onr:"swepub:oai:DiVA.org:oru-72041" > Metabolic Modeling ...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Sen, Partho,1983-Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland; (author)

Metabolic Modeling of Human Gut Microbiota on a Genome Scale : An Overview

  • Article/chapterEnglish2019

Publisher, publication year, extent ...

  • 2019-01-28
  • MDPI,2019
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:oru-72041
  • https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-72041URI
  • https://doi.org/10.3390/metabo9020022DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:for swepub-publicationtype

Notes

  • Funding Agencies:Academy of Finland (Centre of Excellence in Molecular Systems Immunology and Physiology Research)  250114 Juvenile Diabetes Research Foundation  2-SRA-2014-159-Q-R European Union  634413 
  • There is growing interest in the metabolic interplay between the gut microbiome and host metabolism. Taxonomic and functional profiling of the gut microbiome by next-generation sequencing (NGS) has unveiled substantial richness and diversity. However, the mechanisms underlying interactions between diet, gut microbiome and host metabolism are still poorly understood. Genome-scale metabolic modeling (GSMM) is an emerging approach that has been increasingly applied to infer diet⁻microbiome, microbe⁻microbe and host⁻microbe interactions under physiological conditions. GSMM can, for example, be applied to estimate the metabolic capabilities of microbes in the gut. Here, we discuss how meta-omics datasets such as shotgun metagenomics, can be processed and integrated to develop large-scale, condition-specific, personalized microbiota models in healthy and disease states. Furthermore, we summarize various tools and resources available for metagenomic data processing and GSMM, highlighting the experimental approaches needed to validate the model predictions.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Oresic, Matej,1967-Örebro universitet,Institutionen för medicinska vetenskaper,Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland(Swepub:oru)moc (author)
  • Örebro universitetInstitutionen för medicinska vetenskaper (creator_code:org_t)

Related titles

  • In:Metabolites: MDPI9:22218-19892218-1989

Internet link

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Sen, Partho, 198 ...
Oresic, Matej, 1 ...
About the subject
NATURAL SCIENCES
NATURAL SCIENCES
and Computer and Inf ...
and Bioinformatics
Articles in the publication
Metabolites
By the university
Örebro University

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view