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Conference Paper: EpiRegNet: constructing epigenetic regulatory networks from high throughput gene expression data for humans

TitleEpiRegNet: constructing epigenetic regulatory networks from high throughput gene expression data for humans
Authors
Issue Date2011
PublisherThe University of Hong Kong.
Citation
The 2011 Hong Kong Inter-University Biochemistry Postgraduate Symposium, Hong Kong, 11 June 2011. How to Cite?
AbstractSUMMARY: EpiRegNet, an interactive web server, is able to construct an epigenetic regulatory network (ERN) from gene expression data, including microarray and RNA-seq data for human ESC, IMR90 and CD4+ T cells. Given a set of categorized genes, the system will find the epigenetic factors that contribute most to the differences in the gene expression and construct an ERN around these factors. Furthermore, the web server can demonstrate cooperative/competitive relationships among these factors in activating or repressing their target genes. Availability and Implementation: EpiRegNet is freely available on the web at http://wanglab.hku.hk/EpiRegNet/. It is implemented in perl, PHP and MySQL with all major browsers supported.
DescriptionPoster Presentation: P-H010
Persistent Identifierhttp://hdl.handle.net/10722/140075

 

DC FieldValueLanguage
dc.contributor.authorWang, Yen_US
dc.contributor.authorWang, Pen_US
dc.contributor.authorLi, Jen_US
dc.contributor.authorQin, Jen_US
dc.contributor.authorWang, XWen_US
dc.contributor.authorZhang, MQen_US
dc.contributor.authorWang, JJen_US
dc.date.accessioned2011-09-23T06:06:19Z-
dc.date.available2011-09-23T06:06:19Z-
dc.date.issued2011en_US
dc.identifier.citationThe 2011 Hong Kong Inter-University Biochemistry Postgraduate Symposium, Hong Kong, 11 June 2011.en_US
dc.identifier.urihttp://hdl.handle.net/10722/140075-
dc.descriptionPoster Presentation: P-H010-
dc.description.abstractSUMMARY: EpiRegNet, an interactive web server, is able to construct an epigenetic regulatory network (ERN) from gene expression data, including microarray and RNA-seq data for human ESC, IMR90 and CD4+ T cells. Given a set of categorized genes, the system will find the epigenetic factors that contribute most to the differences in the gene expression and construct an ERN around these factors. Furthermore, the web server can demonstrate cooperative/competitive relationships among these factors in activating or repressing their target genes. Availability and Implementation: EpiRegNet is freely available on the web at http://wanglab.hku.hk/EpiRegNet/. It is implemented in perl, PHP and MySQL with all major browsers supported.-
dc.languageengen_US
dc.publisherThe University of Hong Kong.-
dc.relation.ispartofHong Kong Inter-University Biochemistry Postgraduate Symposiumen_US
dc.titleEpiRegNet: constructing epigenetic regulatory networks from high throughput gene expression data for humansen_US
dc.typeConference_Paperen_US
dc.identifier.emailWang, Y: lilwang@hku.hken_US
dc.identifier.emailWang, P: pwwang@hku.hken_US
dc.identifier.emailLi, J: mulin@hku.hken_US
dc.identifier.emailQin, J: jingqin@hku.hk-
dc.identifier.emailWang, JJ: junwen@hku.hk-
dc.identifier.authorityWang, JJ=rp00280en_US
dc.description.naturepostprint-
dc.identifier.hkuros192432en_US
dc.publisher.placeHong Kong-
dc.description.otherThe 2011 Hong Kong Inter-University Biochemistry Postgraduate Symposium, Hong Kong, 11 June 2011.-

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