Autor segons l'article: Roca, C.P.; Gomes, S.I.L.; Amorim, M.J.B.; Scott-Fordsmand, J.J.
Departament: Enginyeria Química
Autor/s de la URV: PEREZ ROCA, CARLOS; Gomes, S.I.L.; Amorim, M.J.B.; Scott-Fordsmand, J.J.
Paraules clau: gene expression profiling reproducibility Gene expression regulation
Resum: RNA-Seq and gene expression microarrays provide comprehensive profiles of gene activity, but lack of reproducibility has hindered their application. A key challenge in the data analysis is the normalization of gene expression levels, which is currently performed following the implicit assumption that most genes are not differentially expressed. Here, we present a mathematical approach to normalization that makes no assumption of this sort. We have found that variation in gene expression is much larger than currently believed, and that it can be measured with available assays. Our results also explain, at least partially, the reproducibility problems encountered in transcriptomics studies. We expect that this improvement in detection will help efforts to realize the full potential of gene expression profiling, especially in analyses of cellular processes involving complex modulations of gene expression.
Àrees temàtiques: Enginyeria química Ingeniería química Chemical engineering
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 2045-2322
Identificador de l'autor: ; n/a; n/a; 0000-0002-2260-1224
Data d'alta del registre: 2017-03-28
Volum de revista: 7
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.nature.com/articles/srep42460
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1038/srep42460
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2017
Tipus de publicació: Article Artículo Article
Repositori URV