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» Using Multiple Alignments to Improve Gene Prediction
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BMCBI
2007
142views more  BMCBI 2007»
13 years 5 months ago
Improving model construction of profile HMMs for remote homology detection through structural alignment
Background: Remote homology detection is a challenging problem in Bioinformatics. Arguably, profile Hidden Markov Models (pHMMs) are one of the most successful approaches in addre...
Juliana S. Bernardes, Alberto M. R. Dávila,...
BMCBI
2004
166views more  BMCBI 2004»
13 years 5 months ago
Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
Shaun Mahony, James O. McInerney, Terry J. Smith, ...
BMCBI
2005
142views more  BMCBI 2005»
13 years 5 months ago
transAlign: using amino acids to facilitate the multiple alignment of protein-coding DNA sequences
Background: Alignments of homologous DNA sequences are crucial for comparative genomics and phylogenetic analysis. However, multiple alignment represents a computationally difficu...
Olaf R. P. Bininda-Emonds
BMCBI
2008
140views more  BMCBI 2008»
13 years 5 months ago
Improved accuracy of multiple ncRNA alignment by incorporating structural information into a MAFFT-based framework
Background: Structural alignment of RNAs is becoming important, since the discovery of functional non-coding RNAs (ncRNAs). Recent studies, mainly based on various approximations ...
Kazutaka Katoh, Hiroyuki Toh
SSDBM
2006
IEEE
163views Database» more  SSDBM 2006»
13 years 11 months ago
ACache: Using Caching to Improve the Performance of Multiple Sequence Alignments
Multiple sequence alignment represents a class of powerful bioinformatics tools with many uses in computational biology ranging from discovery of characteristic motifs and conserv...
Xun Tu, Kajal T. Claypool, Cindy X. Chen