A New Algorithm for Identifying Cis-Regulatory Modules Based on Hidden Markov Model.
The discovery of cis-regulatory modules (CRMs) is the key to understanding mechanisms of transcription regulation. Since CRMs have specific regulatory structures that are the basis for the regulation of gene expression, how to model the regulatory structure of CRMs has a considerable impact on the p...
| Publicado en: | BioMed Research International Vol. 2017; pp. 1 - 13 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
4/11/2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=122429157&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 122429157 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 4/11/2017 vid: 2017 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 122429157 122429157 122429157 10.1155/2017/6274513 122429157 ppf: 1 ppct: 12 formats: fmt: @attributes: type: P tig: atl: A New Algorithm for Identifying Cis-Regulatory Modules Based on Hidden Markov Model. aug: au: Guo, Haitao Huo, Hongwei affil: School of Computer Science and Technology, Xidian University, Xi’an, Shaanxi, China sug: subj: Algorithms Transcription Factors Gene Expression Hidden Markov Models Human Genetics Methods Biomedical Engineering Funding Source ab: The discovery of cis-regulatory modules (CRMs) is the key to understanding mechanisms of transcription regulation. Since CRMs have specific regulatory structures that are the basis for the regulation of gene expression, how to model the regulatory structure of CRMs has a considerable impact on the performance of CRM identification. The paper proposes a CRM discovery algorithm called ComSPS. ComSPS builds a regulatory structure model of CRMs based on HMM by exploring the rules of CRM transcriptional grammar that governs the internal motif site arrangement of CRMs. We test ComSPS on three benchmark datasets and compare it with five existing methods. Experimental results show that ComSPS performs better than them. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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