Cargando…
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...
Autores principales: | Ovaska, Kristian, Matarese, Filomena, Grote, Korbinian, Charapitsa, Iryna, Cervera, Alejandra, Liu, Chengyu, Reid, George, Seifert, Martin, Stunnenberg, Hendrik G., Hautaniemi, Sampsa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3688481/ https://www.ncbi.nlm.nih.gov/pubmed/23818839 http://dx.doi.org/10.1371/journal.pcbi.1003100 |
Ejemplares similares
-
Predicting stimulation-dependent enhancer-promoter interactions from ChIP-Seq time course data
por: Dzida, Tomasz, et al.
Publicado: (2017) -
Fast Gene Ontology based clustering for microarray experiments
por: Ovaska, Kristian, et al.
Publicado: (2008) -
Inference of RNA Polymerase II Transcription Dynamics from Chromatin Immunoprecipitation Time Course Data
por: wa Maina, Ciira, et al.
Publicado: (2014) -
Emerging Links between Control of Mitochondrial Protein ATAD3A and Cancer
por: Lang, Liwei, et al.
Publicado: (2020) -
SePIA: RNA and small RNA sequence processing, integration, and analysis
por: Icay, Katherine, et al.
Publicado: (2016)