Abstract
TWINSCAN is a new gene-structure prediction system that directly extends the probability model of GENSCAN, allowing it to exploit homology between two related genomes. Separate probability models are used for conservation in exons, introns, splice sites, and UTRs, reflecting the differences among their patterns of evolutionary conservation. TWINSCAN is specifically designed for the analysis of high-throughput genomic sequences containing an unknown number of genes. In experiments on high-throughput mouse sequences, using homologous sequences from the human genome, TWINSCAN shows notable improvement over GENSCAN in exon sensitivity and specificity and dramatic improvement in exact gene sensitivity and specificity. This improvement can be attributed entirely to modeling the patterns of evolutionary conservation in genomic sequence.
| Original language | English (US) |
|---|---|
| Journal | Bioinformatics |
| Volume | 17 |
| Issue number | SUPPL. 1 |
| State | Published - 2001 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Clinical Biochemistry
- Computer Science Applications
- Computational Theory and Mathematics
Cite this
Integrating genomic homology into gene structure prediction. / Korf, Ian F; Flicek, Paul; Duan, Daniel; Brent, Michael R.
In: Bioinformatics, Vol. 17, No. SUPPL. 1, 2001.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Integrating genomic homology into gene structure prediction
AU - Korf, Ian F
AU - Flicek, Paul
AU - Duan, Daniel
AU - Brent, Michael R.
PY - 2001
Y1 - 2001
N2 - TWINSCAN is a new gene-structure prediction system that directly extends the probability model of GENSCAN, allowing it to exploit homology between two related genomes. Separate probability models are used for conservation in exons, introns, splice sites, and UTRs, reflecting the differences among their patterns of evolutionary conservation. TWINSCAN is specifically designed for the analysis of high-throughput genomic sequences containing an unknown number of genes. In experiments on high-throughput mouse sequences, using homologous sequences from the human genome, TWINSCAN shows notable improvement over GENSCAN in exon sensitivity and specificity and dramatic improvement in exact gene sensitivity and specificity. This improvement can be attributed entirely to modeling the patterns of evolutionary conservation in genomic sequence.
AB - TWINSCAN is a new gene-structure prediction system that directly extends the probability model of GENSCAN, allowing it to exploit homology between two related genomes. Separate probability models are used for conservation in exons, introns, splice sites, and UTRs, reflecting the differences among their patterns of evolutionary conservation. TWINSCAN is specifically designed for the analysis of high-throughput genomic sequences containing an unknown number of genes. In experiments on high-throughput mouse sequences, using homologous sequences from the human genome, TWINSCAN shows notable improvement over GENSCAN in exon sensitivity and specificity and dramatic improvement in exact gene sensitivity and specificity. This improvement can be attributed entirely to modeling the patterns of evolutionary conservation in genomic sequence.
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UR - http://www.scopus.com/inward/citedby.url?scp=17444437765&partnerID=8YFLogxK
M3 - Article
C2 - 11473003
AN - SCOPUS:17444437765
VL - 17
JO - Bioinformatics
JF - Bioinformatics
SN - 1367-4803
IS - SUPPL. 1
ER -