Guiding the choice of informatics software and tools for lipidomics research applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F23%3A00566870" target="_blank" >RIV/61388963:_____/23:00566870 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1038/s41592-022-01710-0" target="_blank" >https://doi.org/10.1038/s41592-022-01710-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41592-022-01710-0" target="_blank" >10.1038/s41592-022-01710-0</a>
Alternative languages
Result language
angličtina
Original language name
Guiding the choice of informatics software and tools for lipidomics research applications
Original language description
Progress in mass spectrometry lipidomics has led to a rapid proliferation of studies across biology and biomedicine. These generate extremely large raw datasets requiring sophisticated solutions to support automated data processing. To address this, numerous software tools have been developed and tailored for specific tasks. However, for researchers, deciding which approach best suits their application relies on ad hoc testing, which is inefficient and time consuming. Here we first review the data processing pipeline, summarizing the scope of available tools. Next, to support researchers, LIPID MAPS provides an interactive online portal listing open-access tools with a graphical user interface. This guides users towards appropriate solutions within major areas in data processing, including (1) lipid-oriented databases, (2) mass spectrometry data repositories, (3) analysis of targeted lipidomics datasets, (4) lipid identification and (5) quantification from untargeted lipidomics datasets, (6) statistical analysis and visualization, and (7) data integration solutions. Detailed descriptions of functions and requirements are provided to guide customized data analysis workflows.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GM21-11563M" target="_blank" >GM21-11563M: Mapping the chemodiversity of Piperaceae plants using next-generation MZmine platform</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
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
1548-7105
Volume of the periodical
20
Issue of the periodical within the volume
2
Country of publishing house
DE - GERMANY
Number of pages
12
Pages from-to
193-204
UT code for WoS article
000901864100001
EID of the result in the Scopus database
2-s2.0-85144411156