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IDA
2007
Springer
14 years 1 months ago
Learning to Align: A Statistical Approach
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
Elisa Ricci, Tijl De Bie, Nello Cristianini
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
14 years 1 months ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng
BMCBI
2007
126views more  BMCBI 2007»
13 years 7 months ago
Multiple non-collinear TF-map alignments of promoter regions
Background: The analysis of the promoter sequence of genes with similar expression patterns is a basic tool to annotate common regulatory elements. Multiple sequence alignments ar...
Enrique Blanco, Roderic Guigó, Xavier Messe...
ISMB
1996
13 years 8 months ago
Compact Encoding Strategies for DNA Sequence Similarity Search
Determining whether two DNA sequences are similar is an essential component of DNA sequence analysis. Dynamic programming is the algorithm of choice if computational time is not t...
David J. States, Pankaj Agarwal
BIOCOMP
2007
13 years 8 months ago
Quality-Based Similarity Search for Biological Sequence Databases
Low-Complexity Regions (LCRs) of biological sequences are the main source of false positives in similarity searches for biological sequence databases. We consider the problem of ...
Xuehui Li, Tamer Kahveci