Review of Different Sequence Motif Finding Algorithms.
The DNA motif discovery is a primary step in many systems for studying gene function. Motif discovery plays a vital role in identification of Transcription Factor Binding Sites (TFBSs) that help in learning the mechanisms for regulation of gene expression. Over the past decades, different algorithms...
| Publicado en: | Avicenna Journal of Medical Biotechnology Vol. 11; no. 2; pp. 130 - 149 |
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| Autores principales: | , , |
| Formato: | equations & formulas review tables/charts Journal Article |
| Publicado: |
Avicenna Research Institute
2019
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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=135776931&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135776931 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 20082835 ATX9 jtl: Avicenna Journal of Medical Biotechnology issn: 20082835 maglogo: N pubinfo: dt: 2019 vid: 11 iid: 2 pid: 56911 pub: Avicenna Research Institute artinfo: ui: 135776931 135776931 135776931 135776931 ppf: 130 ppct: 19 formats: tig: atl: Review of Different Sequence Motif Finding Algorithms. aug: au: Hashim, Fatma A. Mabrouk, Mai S. Al-Atabany, Walid affil: Department of Biomedical Engineering, Helwan University, Egypt sug: subj: DNA Fingerprinting Methods Algorithms Utilization Algorithms Classification Sequence Analysis Methods Transcription Factors Gene Expression Bioinformatics Consensus Nucleotide Mapping DNA-Binding Proteins ab: The DNA motif discovery is a primary step in many systems for studying gene function. Motif discovery plays a vital role in identification of Transcription Factor Binding Sites (TFBSs) that help in learning the mechanisms for regulation of gene expression. Over the past decades, different algorithms were used to design fast and accurate motif discovery tools. These algorithms are generally classified into consensus or probabilistic approaches that many of them are time-consuming and easily trapped in a local optimum. Nature-inspired algorithms and many of combinatorial algorithms are recently proposed to overcome these problems. This paper presents a general classification of motif discovery algorithms with new sub-categories that facilitate building a successful motif discovery algorithm. It also presents a summary of comparison between them. pubtype: Academic Journal doctype: equations & formulas review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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