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Integrative Analysis of Deep Sequencing Data Identifies Estrogen Receptor Early Response Genes and Links ATAD3B to Poor Survival in Breast Cancer

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dc.contributor.author Ovaska, Kristian
dc.contributor.author Matarese, Filomena
dc.contributor.author Grote, Korbinian
dc.contributor.author Charapitsa, Iryna
dc.contributor.author Cervera, Alejandra
dc.contributor.author Liu, Chengyu
dc.contributor.author Reid, George
dc.contributor.author Seifert, Martin
dc.contributor.author Stunnenberg, Hendrik G.
dc.contributor.author Hautaniemi, Sampsa
dc.date.accessioned 2016-06-09T14:00:01Z
dc.date.available 2016-06-09T14:00:01Z
dc.date.issued 2013-06
dc.identifier.citation Ovaska , K , Matarese , F , Grote , K , Charapitsa , I , Cervera , A , Liu , C , Reid , G , Seifert , M , Stunnenberg , H G & Hautaniemi , S 2013 , ' Integrative Analysis of Deep Sequencing Data Identifies Estrogen Receptor Early Response Genes and Links ATAD3B to Poor Survival in Breast Cancer ' , PLoS Computational Biology , vol. 9 , no. 6 , e1003100 . https://doi.org/10.1371/journal.pcbi.1003100
dc.identifier.other PURE: 28892717
dc.identifier.other PURE UUID: 02315817-3c96-480d-953c-749a1a012fc1
dc.identifier.other WOS: 000321241600021
dc.identifier.other Scopus: 84879524072
dc.identifier.other ORCID: /0000-0002-7749-2694/work/29942505
dc.identifier.uri http://hdl.handle.net/10138/163549
dc.format.extent 13
dc.language.iso eng
dc.relation.ispartof PLoS Computational Biology
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject RNA-POLYMERASE-II
dc.subject CHIP-SEQ
dc.subject TRANSCRIPTION FACTORS
dc.subject ER-ALPHA
dc.subject CELLS
dc.subject EXPRESSION
dc.subject RESOURCE
dc.subject THERAPY
dc.subject 3111 Biomedicine
dc.title Integrative Analysis of Deep Sequencing Data Identifies Estrogen Receptor Early Response Genes and Links ATAD3B to Poor Survival in Breast Cancer en
dc.type Article
dc.contributor.organization Research Programs Unit
dc.contributor.organization Genome-Scale Biology (GSB) Research Program
dc.contributor.organization Medicum
dc.contributor.organization Bioinformatics
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1371/journal.pcbi.1003100
dc.relation.issn 1553-7358
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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