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Listar por autor "GOTZ, STEFAN"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por autor "GOTZ, STEFAN"

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    High-throughput functional annotation and data 
    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 ...
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    Pathway network inference from gene expression data 
    Ponzoni, Ignacio; Nueda, Maria José; Tarazona Campos, Sonia; GOTZ, STEFAN; Montaner, David; Dussaut, Julieta Sol; Dopazo, Joaquín; Conesa, Ana (BioMed Central, 2014-03-13)
    [EN] Background: The development of high-throughput omics technologies enabled genome-wide measurements of the activity of cellular elements and provides the analytical resources for the progress of the Systems ...
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    Qualimap: evaluating next generation sequencing alignment data 
    García-Alcalde, Fernando; Okonechnikov, Konstantin; Carbonell Caballero, José; Cruz, Luís M.; GOTZ, STEFAN; Tarazona Campos, Sonia; Dopazo, Joaquín; Meyer, Thomas F.; Conesa, Ana (Oxford University Press (OUP): Policy B - Oxford Open Option B, 2012)
    Motivation: The sequence alignment/map (SAM) and the binary alignment/map (BAM) formats have become the standard method of representation of nucleotide sequence alignments for next-generation sequencing data. SAM/BAM ...