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» Spatio-Temporal Alignment of Sequences
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ISMB
1996
15 years 2 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
15 years 6 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»
15 years 5 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»
15 years 1 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»
15 years 5 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...