Database limitations for studying the human gut microbiome
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F20%3A00532946" target="_blank" >RIV/61388971:_____/20:00532946 - isvavai.cz</a>
Result on the web
<a href="https://peerj.com/articles/cs-289/#" target="_blank" >https://peerj.com/articles/cs-289/#</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7717/peerj-cs.289" target="_blank" >10.7717/peerj-cs.289</a>
Alternative languages
Result language
angličtina
Original language name
Database limitations for studying the human gut microbiome
Original language description
Background. In the last twenty years, new methodologies have made possible the gathering of large amounts of data concerning the genetic information and metabolic functions associated to the human gut microbiome. In spite of that, processing all this data available might not be the simplest of tasks, which could result in an excess of information awaiting proper annotation. This assessment intended on evaluating how well respected databases could describe a mock human gut microbiome.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10606 - Microbiology
Result continuities
Project
<a href="/en/project/LM2015055" target="_blank" >LM2015055: Center for Systems Biology</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PeerJ Computer Science
ISSN
2376-5992
e-ISSN
—
Volume of the periodical
2020
Issue of the periodical within the volume
AUG 17
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
e289
UT code for WoS article
000560146500001
EID of the result in the Scopus database
2-s2.0-85090411614