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» Spatio-Temporal Alignment of Sequences
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ISMB
1996
13 years 9 months ago
Parameterization Studies for the SAM and HMMER Methods of Hidden Markov Model Generation
Multiple sequence alignment of distantly related viral proteins remains a challenge to all currently available alignment methods. The hidden Markovmodel approach offers a new,flex...
Marcella A. McClure, Chris Smith, Pete Elton
CISIS
2010
IEEE
14 years 1 months ago
A Parallel Programming Framework for Multi-core DNA Sequence Alignment
—A new parallel programming framework for DNA sequence alignment in homogeneous multi-core processor architectures is proposed. Contrasting with traditional coarse-grained parall...
Tiago Jose Barreiros Martins de Almeida, Nuno Fili...
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
13 years 11 months ago
A hybrid genetic search for multiple sequence alignment
This paper proposes a hybrid genetic algorithm for multiple sequence alignment. The algorithm evolves guide sequences and aligns input sequences based on the guide sequences. It a...
Seung-Hyun Moon, Sung-Soon Choi, Byung Ro Moon
BMCBI
2006
92views more  BMCBI 2006»
13 years 7 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, ...
ARC
2007
Springer
123views Hardware» more  ARC 2007»
13 years 11 months ago
Multiple Sequence Alignment Using Reconfigurable Computing
The alignment of multiple protein (or DNA) sequences is a current problem in Bioinformatics. ClustalW is the most popular heuristic algorithm for multiple sequence alignment. Pairw...
Carlos R. Erig Lima, Heitor S. Lopes, Maiko R. Mor...