Tarazona Campos, Sonia; Furió Tarí, Pedro; Turrà, David; Di Pietro, Antonio; Nueda, María José; Ferrer, Alberto; Conesa, Ana(Oxford University Press (OUP), 2015-12-02)
[EN] As the use of RNA-seq has popularized, there is an increasing consciousness of the importance of experimental design, bias removal, accurate quantification and control of false positives for proper data analysis. We ...
GOTZ, STEFAN; García Gómez, Juan Miguel; Terol, Javier; Williams, Tim D.; Nagaraj, Shivashankar H.; Nueda, María José; Robles Viejo, Monserrat; Talón, Manuel; Dopazo, Joaquín; Conesa, Ana(Oxford University Press, 2008)
[EN] Functional genomics technologies have been widely adopted in the biological research of both model and non-model species. An efficient functional annotation of DNA or protein sequences is a major requirement for the ...
Ugidos, Manuel; Nueda, María José; Prats-Montalbán, José Manuel; Ferrer, Alberto; Conesa, Ana; Tarazona, Sonia(Oxford University Press, 2022-04-28)
[EN] Motivation: Batch effects in omics datasets are usually a source of technical noise that masks the biological signal and hampers data analysis. Batch effect removal has been widely addressed for individual omics ...
Nueda, María José; Tarazona Campos, Sonia; Conesa, Ana(Oxford University Press (OUP): Policy B - Oxford Open Option B, 2014-09-15)
[EN] Motivation: The widespread adoption of RNA-seq to quantitatively
measure gene expression has increased the scope of sequencing
experimental designs to include time-course experiments. maSigPro
is an R package ...