PamgeneAnalyzeR: open and reproducible pipeline for kinase profiling.

Détails

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Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_F6B4F7EFAFFB
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
PamgeneAnalyzeR: open and reproducible pipeline for kinase profiling.
Périodique
Bioinformatics
Auteur(s)
Bekkar A., Nasrallah A., Guex N., Fajas L., Xenarios I., Lopez-Mejia I.C.
ISSN
1367-4811 (Electronic)
ISSN-L
1367-4803
Statut éditorial
Publié
Date de publication
22/12/2020
Peer-reviewed
Oui
Editeur scientifique
Valencia Alfonso
Volume
36
Numéro
20
Pages
5117-5119
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Protein phosphorylation--catalyzed by protein kinases-is the most common post-translational modification. It increases the functional diversity of the proteome and influences various aspects of normal physiology and can be altered in disease states. High throughput profiling of kinases is becoming an essential experimental approach to investigate their activity and this can be achieved using technologies such as PamChip® arrays provided by PamGene for kinase activity measurement. Here, we present 'pamgeneAnalyzeR', an R package developed as an alternative to the manual steps necessary to extract the data from PamChip® peptide microarrays images in a reproducible and robust manner. The extracted data can be directly used for downstream analysis.
PamgeneAnalyzeR is implemented in R and can be obtained from https://github.com/amelbek/pamgeneAnalyzeR.
Mots-clé
Statistics and Probability, Computational Theory and Mathematics, Biochemistry, Molecular Biology, Computational Mathematics, Computer Science Applications
Pubmed
Web of science
Open Access
Oui
Création de la notice
17/01/2020 17:46
Dernière modification de la notice
28/01/2021 7:25
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