Integrative analysis of deep sequencing data identifies estrogen receptor early response genes and links ATAD3B to poor survival in breast cancer

Identification of responsive genes to an extra-cellular cue enables characterization of pathophysiologically crucial biological processes. Deep sequencing technologies provide a powerful means to identify responsive genes, which creates a need for computational methods able to analyze dynamic and mu...

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Veröffentlicht in:	PLoS computational biology 2013-06, Vol.9 (6), p.e1003100-e1003100
Hauptverfasser:	Ovaska, Kristian, Matarese, Filomena, Grote, Korbinian, Charapitsa, Iryna, Cervera, Alejandra, Liu, Chengyu, Reid, George, Seifert, Martin, Stunnenberg, Hendrik G, Hautaniemi, Sampsa
Format:	Artikel
Sprache:	eng
Schlagworte:	Adenosine Triphosphatases - genetics ATPases Associated with Diverse Cellular Activities Breast cancer Breast Neoplasms - genetics Breast Neoplasms - pathology Cancer Computer Science DNA sequencing Estrogen Receptor alpha - genetics Experiments Female Gene expression Genetic aspects Genomes Humans Hypotheses MCF-7 Cells Medicine Membrane Proteins - genetics Mitochondrial Proteins - genetics Nucleotide sequencing Ontology Patients Physiological aspects Proteins RNA polymerase Survival Analysis Transcription, Genetic
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