Feature-based molecular networking in the GNPS analysis environment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F20%3A00534783" target="_blank" >RIV/61388971:_____/20:00534783 - isvavai.cz</a>
Result on the web
<a href="https://www.nature.com/articles/s41592-020-0933-6#Sec29" target="_blank" >https://www.nature.com/articles/s41592-020-0933-6#Sec29</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41592-020-0933-6" target="_blank" >10.1038/s41592-020-0933-6</a>
Alternative languages
Result language
angličtina
Original language name
Feature-based molecular networking in the GNPS analysis environment
Original language description
Feature-based molecular networking allows the generation of molecular networks for mass spectrometry data that can recognize isomers, incorporate relative quantification and integrate ion mobility data.Molecular networking has become a key method to visualize and annotate the chemical space in non-targeted mass spectrometry data. We present feature-based molecular networking (FBMN) as an analysis method in the Global Natural Products Social Molecular Networking (GNPS) infrastructure that builds on chromatographic feature detection and alignment tools. FBMN enables quantitative analysis and resolution of isomers, including from ion mobility spectrometry.n
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
<a href="/en/project/EF16_027%2F0007990" target="_blank" >EF16_027/0007990: International mobility of researchers of the Institute of Microbiology of the CAS, v. v. i.</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
Nature Methods
ISSN
1548-7091
e-ISSN
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Volume of the periodical
17
Issue of the periodical within the volume
9
Country of publishing house
GB - UNITED KINGDOM
Number of pages
4
Pages from-to
905-908
UT code for WoS article
000562345400002
EID of the result in the Scopus database
2-s2.0-85089747963