DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sung Soo Kang | - |
dc.contributor.author | Sung-Jin Yang | - |
dc.contributor.author | S Kim | - |
dc.contributor.author | Jong Bhak | - |
dc.date.accessioned | 2017-04-19T09:08:46Z | - |
dc.date.available | 2017-04-19T09:08:46Z | - |
dc.date.issued | 2007 | - |
dc.identifier.issn | 1367-4803 | - |
dc.identifier.uri | 10.1093/bioinformatics/btm512 | ko |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/8226 | - |
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. | - |
dc.publisher | Oxford Univ Press | - |
dc.title | CONSORF: a consensus prediction system for prokaryotic coding sequences | - |
dc.title.alternative | CONSORF: a consensus prediction system for prokaryotic coding sequences | - |
dc.type | Article | - |
dc.citation.title | Bioinformatics | - |
dc.citation.number | 22 | - |
dc.citation.endPage | 3090 | - |
dc.citation.startPage | 3088 | - |
dc.citation.volume | 23 | - |
dc.contributor.affiliatedAuthor | Sung Soo Kang | - |
dc.contributor.affiliatedAuthor | Sung-Jin Yang | - |
dc.contributor.affiliatedAuthor | Jong Bhak | - |
dc.contributor.alternativeName | 강성수 | - |
dc.contributor.alternativeName | 양성진 | - |
dc.contributor.alternativeName | 김상수 | - |
dc.contributor.alternativeName | 박종화 | - |
dc.identifier.bibliographicCitation | Bioinformatics, vol. 23, no. 22, pp. 3088-3090 | - |
dc.identifier.doi | 10.1093/bioinformatics/btm512 | - |
dc.description.journalClass | Y | - |
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