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» Using Multiple Alignments to Improve Gene Prediction
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RECOMB
2005
Springer
14 years 5 months ago
Using Multiple Alignments to Improve Gene Prediction
The multiple species de novo gene prediction problem can be stated as follows: given an alignment of genomic sequences from two or more organisms, predict the location and structur...
Samuel S. Gross, Michael R. Brent
BMCBI
2011
12 years 9 months ago
Improving pan-genome annotation using whole genome multiple alignment
Background: Rapid annotation and comparisons of genomes from multiple isolates (pan-genomes) is becoming commonplace due to advances in sequencing technology. Genome annotations c...
Samuel V. Angiuoli, Julie C. Dunning Hotopp, Steve...
BMCBI
2006
111views more  BMCBI 2006»
13 years 5 months ago
Using ESTs to improve the accuracy of de novo gene prediction
Background: ESTs are a tremendous resource for determining the exon-intron structures of genes, but even extensive EST sequencing tends to leave many exons and genes untouched. Ge...
Chaochun Wei, Michael R. Brent
BMCBI
2006
139views more  BMCBI 2006»
13 years 5 months ago
Improvement in accuracy of multiple sequence alignment using novel group-to-group sequence alignment algorithm with piecewise li
Background: Multiple sequence alignment (MSA) is a useful tool in bioinformatics. Although many MSA algorithms have been developed, there is still room for improvement in accuracy...
Shinsuke Yamada, Osamu Gotoh, Hayato Yamana
RECOMB
2004
Springer
14 years 5 months ago
Multiple organism gene finding by collapsed gibbs sampling
The Gibbs sampling method has been widely used for sequence analysis after it was successfully applied to the problem of identifying regulatory motif sequences upstream of genes. ...
Sourav Chatterji, Lior Pachter