Prediction of Gene Phenotypes Based on GO and KEGG Pathway Enrichment Scores.
Observing what phenotype the overexpression or knockdown of gene can cause is the basic method of investigating gene functions. Many advanced biotechnologies, such as RNAi, were developed to study the gene phenotype. But there are still many limitations. Besides the time and cost, the knockdown of s...
| Publicado en: | BioMed Research International Vol. 2013; pp. 870795 - 870796 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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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=104122438&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104122438 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2013 vid: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104122438 2012404151 NLM24312912 PMC3838811 104122438 ppf: 870795 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Prediction of Gene Phenotypes Based on GO and KEGG Pathway Enrichment Scores. aug: au: Zhang, Tao Jiang, Min Chen, Lei Niu, Bing Cai, Yudong affil: Institute of Systems Biology, Shanghai University, 99 ShangDa Road, Shanghai 200444, China. sug: subj: Genetic Techniques Statistics and Numerical Data Genetic Research Statistics and Numerical Data Phenotype Algorithms Resource Databases Models, Biological Genes Yeasts Yeasts Physiology Proteins Proteins Physiology ab: Observing what phenotype the overexpression or knockdown of gene can cause is the basic method of investigating gene functions. Many advanced biotechnologies, such as RNAi, were developed to study the gene phenotype. But there are still many limitations. Besides the time and cost, the knockdown of some gene may be lethal which makes the observation of other phenotypes impossible. Due to ethical and technological reasons, the knockdown of genes in complex species, such as mammal, is extremely difficult. Thus, we proposed a new sequence-based computational method called NNA-based method for gene phenotypes prediction. Different to the traditional sequence-based computational method, our method regards the multiphenotype as a whole network which can rank the possible phenotypes associated with the query protein and shows a more comprehensive view of the protein's biological effects. According to the prediction result of yeast, we also find some more related features, including GO and KEGG information, which are making more contributions in identifying protein phenotypes. This method can be applied in gene phenotype prediction in other species. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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