There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 1030 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 1028 | - |
dc.citation.title | BIOINFORMATICS | - |
dc.citation.volume | 28 | - |
dc.contributor.author | Chi, Sang-Mun | - |
dc.contributor.author | Nam, Dougu | - |
dc.date.accessioned | 2023-12-22T05:13:31Z | - |
dc.date.available | 2023-12-22T05:13:31Z | - |
dc.date.created | 2013-05-27 | - |
dc.date.issued | 2012-04 | - |
dc.description.abstract | We present an accurate and fast web server, WegoLoc for predicting subcellular localization of proteins based on sequence similarity and weighted Gene Ontology (GO) information. A term weighting method in the text categorization process is applied to GO terms for a support vector machine classifier. As a result, WegoLoc surpasses the state-of-the-art methods for previously used test datasets. WegoLoc supports three eukaryotic kingdoms (animals, fungi and plants) and provides human-specific analysis, and covers several sets of cellular locations. In addition, WegoLoc provides (i) multiple possible localizations of input protein(s) as well as their corresponding probability scores, (ii) weights of GO terms representing the contribution of each GO term in the prediction, and (iii) a BLAST E-value for the best hit with GO terms. If the similarity score does not meet a given threshold, an amino acid composition-based prediction is applied as a backup method. | - |
dc.identifier.bibliographicCitation | BIOINFORMATICS, v.28, no.7, pp.1028 - 1030 | - |
dc.identifier.doi | 10.1093/bioinformatics/bts062 | - |
dc.identifier.issn | 1367-4803 | - |
dc.identifier.scopusid | 2-s2.0-84859263222 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/2895 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84859263222 | - |
dc.identifier.wosid | 000302298900019 | - |
dc.language | 영어 | - |
dc.publisher | OXFORD UNIV PRESS | - |
dc.title | WegoLoc: accurate prediction of protein subcellular localization using weighted Gene Ontology terms | - |
dc.type | Article | - |
dc.relation.journalWebOfScienceCategory | Biochemical Research Methods; Biotechnology & Applied Microbiology; Computer Science, Interdisciplinary Applications; Mathematical & Computational Biology; Statistics & Probability | - |
dc.relation.journalResearchArea | Biochemistry & Molecular Biology; Biotechnology & Applied Microbiology; Computer Science; Mathematical & Computational Biology; Mathematics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | SEQUENCE | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.