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Bhak, Jong
KOrean GenomIcs Center(KOGIC)
Research Interests
  • Geromics, genomics, bioinformatics, protein Engineering, OMICS

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CONSORF: a consensus prediction system for prokaryotic coding sequences

Cited 4 times inthomson ciCited 5 times inthomson ci
Title
CONSORF: a consensus prediction system for prokaryotic coding sequences
Other Titles
CONSORF: a consensus prediction system for prokaryotic coding sequences
Author
Kang, SungsooYang, Sung-JinKim, SangsooBhak, Jong Hwa
Keywords
EMTREE medical terms: article; automation; bioinformatics; consensus sequence; gene sequence; genetic code; genome; genome analysis; prediction; priority journal; prokaryote; reliability; sensitivity and specificity; sequence alignment; sequence homology MeSH: Algorithms; Base Sequence; Chromosome Mapping; Consensus Sequence; Genome, Bacterial; Molecular Sequence Data; Open Reading Frames; Sequence Alignment; Sequence Analysis, DNA; Software Medline is the source for the MeSH terms of this document. Species Index: Prokaryota
Issue Date
2007-11
Publisher
OXFORD UNIV PRESS
Citation
BIOINFORMATICS, v.23, no.22, pp.3088 - 3090
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/
URI
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DOI
10.1093/bioinformatics/btm512
ISSN
1367-4803
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BME_Journal Papers
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