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IDA
2007
Springer
13 years 11 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
BMCBI
2005
158views more  BMCBI 2005»
13 years 4 months ago
Automated generation of heuristics for biological sequence comparison
Background: Exhaustive methods of sequence alignment are accurate but slow, whereas heuristic approaches run quickly, but their complexity makes them more difficult to implement. ...
Guy St. C. Slater, Ewan Birney
BMCBI
2007
135views more  BMCBI 2007»
13 years 4 months ago
Automatic extraction of reliable regions from multiple sequence alignments
Background: High quality multiple alignments are crucial in the transfer of annotation from one genome to another. Multiple alignment methods strive to achieve ever increasing lev...
Timo Lassmann, Erik L. L. Sonnhammer
IPPS
2005
IEEE
13 years 10 months ago
High-Performance Direct Pairwise Comparison of Large Genomic Sequences
Many applications in Comparative Genomics lend themselves to implementations that take advantage of common high-performance features in modern microprocessors. However, the common...
Christopher Mueller, Mehmet M. Dalkilic, Andrew Lu...
BMEI
2008
IEEE
13 years 11 months ago
A New Approach for Tree Alignment Based on Local Re-Optimization
Multiple sequence alignment is the most fundamental task in bioinformatics and computational biology. In this paper, we present a new algorithm to conduct multiple sequences align...
Feng Yue, Jijun Tang