A benchmark of gene expression tissue-specificity metrics.
Détails
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Accès restreint UNIL
Etat: Public
Version: Final published version
Accès restreint UNIL
Etat: Public
Version: Final published version
ID Serval
serval:BIB_87132E302513
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A benchmark of gene expression tissue-specificity metrics.
Périodique
Briefings in Bioinformatics
ISSN
1477-4054 (Electronic)
ISSN-L
1467-5463
Statut éditorial
Publié
Date de publication
2017
Peer-reviewed
Oui
Volume
18
Numéro
2
Pages
205-214
Langue
anglais
Résumé
One of the major properties of genes is their expression pattern. Notably, genes are often classified as tissue specific or housekeeping. This property is of interest to molecular evolution as an explanatory factor of, e.g. evolutionary rate, as well as a functional feature which may in itself evolve. While many different methods of measuring tissue specificity have been proposed and used for such studies, there has been no comparison or benchmarking of these methods to our knowledge, and little justification of their use. In this study, we compare nine measures of tissue specificity. Most methods were established for ESTs and microarrays, and several were later adapted to RNA-seq. We analyse their capacity to distinguish gene categories, their robustness to the choice and number of tissues used and their capture of evolutionary conservation signal.
Mots-clé
tissue specificity, expression, human, mouse, RNA-seq, microarray
Pubmed
Web of science
Création de la notice
07/02/2017 9:42
Dernière modification de la notice
20/08/2019 14:46