MobilityTransformR: an R package for effective mobility transformation of CE-MS data.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
10 08 2022
10 08 2022
Historique:
received:
30
03
2022
revised:
28
05
2022
accepted:
30
06
2022
pubmed:
6
7
2022
medline:
15
11
2022
entrez:
5
7
2022
Statut:
ppublish
Résumé
We present MobilityTransformR, an R/Bioconductor package for the effective mobility scaling of capillary zone electrophoresis-mass spectrometry (CE-MS) data. It uses functionality from different R packages that are frequently used for data processing and analysis in MS-based metabolomics workflows, allowing the subsequent use of reproducible transformed CE-MS data in existing workflows. MobilityTransformR is implemented in R (Version >= 4.2) and can be downloaded directly from the Bioconductor database (https://bioconductor.org/packages/MobilityTransformR) or GitHub (https://github.com/LiesaSalzer/MobilityTransformR). Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 35781328
pii: 6628580
doi: 10.1093/bioinformatics/btac441
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
4044-4045Subventions
Organisme : Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
ID : 431572533
Informations de copyright
© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.