CONSORF: a consensus prediction system for prokaryotic coding sequences
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, Sungsoo | - |
dc.contributor.author | Yang, Sung-Jin | - |
dc.contributor.author | Kim, Sangsoo | - |
dc.contributor.author | Bhak, Jong | - |
dc.date.available | 2018-05-10T16:33:41Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2007-11-15 | - |
dc.identifier.issn | 1367-4803 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/17728 | - |
dc.description.abstract | Summary: CONSORF is a fully automatic high-accuracy identification system that provides consensus prokaryotic CDS information. It first predicts the CDSs supported by consensus alignments. The alignments are derived from multiple genome-to-proteome comparisons with other prokaryotes using the FASTX program. Then, it fills the empty genomic regions with the CDSs supported by consensus ab initio predictions. From those consensus results, CONSORF provides prediction reliability scores, predicted frame-shifts, alternative start sites and best pair-wise match information against other prokaryotes. These results are easily accessed from a website. Availability: The regularly updated CDS predictions of prokaryotic genomes as well as the source code are freely accessible through http://consorf.kobic.re.kr and http://orfome.org. Contact: j@bio.cc, jong@kribb.re.kr or sskimb@ssu.ac.kr Supplementary information: The detailed methods and evaluation results can be found at http://consorf.kobic.re.kr/supplementary/. | - |
dc.publisher | OXFORD UNIV PRESS | - |
dc.relation.isPartOf | BIOINFORMATICS | - |
dc.subject | GENE RECOGNITION | - |
dc.subject | GENOMES | - |
dc.title | CONSORF: a consensus prediction system for prokaryotic coding sequences | - |
dc.type | Article | - |
dc.identifier.doi | 10.1093/bioinformatics/btm512 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | BIOINFORMATICS, v.23, no.22, pp.3088 - 3090 | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000251197800017 | - |
dc.identifier.scopusid | 2-s2.0-36448975212 | - |
dc.citation.endPage | 3090 | - |
dc.citation.number | 22 | - |
dc.citation.startPage | 3088 | - |
dc.citation.title | BIOINFORMATICS | - |
dc.citation.volume | 23 | - |
dc.contributor.affiliatedAuthor | Kim, Sangsoo | - |
dc.type.docType | Article | - |
dc.description.oadoiVersion | published | - |
dc.subject.keywordPlus | GENE RECOGNITION | - |
dc.subject.keywordPlus | GENOMES | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.