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» Comparative modeling without implicit sequence alignments
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BMCBI
2005
125views more  BMCBI 2005»
13 years 8 months ago
Multiple sequence alignments of partially coding nucleic acid sequences
Background: High quality sequence alignments of RNA and DNA sequences are an important prerequisite for the comparative analysis of genomic sequence data. Nucleic acid sequences, ...
Roman R. Stocsits, Ivo L. Hofacker, Claudia Fried,...
BMCBI
2006
92views more  BMCBI 2006»
13 years 8 months ago
A jumping profile Hidden Markov Model and applications to recombination sites in HIV and HCV genomes
Background: Jumping alignments have recently been proposed as a strategy to search a given multiple sequence alignment A against a database. Instead of comparing a database sequen...
Anne-Kathrin Schultz, Ming Zhang, Thomas Leitner, ...
EMNLP
2007
13 years 10 months ago
A Sequence Alignment Model Based on the Averaged Perceptron
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in co...
Dayne Freitag, Shahram Khadivi
BMCBI
2008
114views more  BMCBI 2008»
13 years 8 months ago
Dinucleotide controlled null models for comparative RNA gene prediction
Background: Comparative prediction of RNA structures can be used to identify functional noncoding RNAs in genomic screens. It was shown recently by Babak et al. [BMC Bioinformatic...
Tanja Gesell, Stefan Washietl
IJBRA
2006
111views more  IJBRA 2006»
13 years 8 months ago
Memory efficient alignment between RNA sequences and stochastic grammar models of pseudoknots
: Stochastic Context-Free Grammars (SCFG) has been shown to be effective in modelling RNA secondary structure for searches. Our previous work (Cai et al., 2003) in Stochastic Paral...
Yinglei Song, Chunmei Liu, Russell L. Malmberg, Co...