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BMCBI
2004
196views more  BMCBI 2004»
13 years 7 months ago
MUSCLE: a multiple sequence alignment method with reduced time and space complexity
Background: In a previous paper, we introduced MUSCLE, a new program for creating multiple alignments of protein sequences, giving a brief summary of the algorithm and showing MUS...
Robert C. Edgar
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...
AINA
2008
IEEE
14 years 2 months ago
Introducing Variable Gap Penalties into Three-Sequence Alignment for Protein Sequences
The common-use gap penalty strategies, constant penalty and affine gap penalty, have been adopted in the traditional three-sequence alignment algorithm which considers the inserti...
Che-Lun Hung, Chun-Yuan Lin, Yeh-Ching Chung, Chua...
IEICET
2008
89views more  IEICET 2008»
13 years 7 months ago
Near-Optimal Block Alignments
Abstract-In this paper, we improve the idea of the near-optimal alignments. Though the near optimal alignments increase the possibility to find the correct alignment, too many of t...
Kuo-Tsung Tseng, Chang-Biau Yang, Kuo-Si Huang, Yu...
BMCBI
2004
141views more  BMCBI 2004»
13 years 7 months ago
Estimates of statistical significance for comparison of individual positions in multiple sequence alignments
Background: Profile-based analysis of multiple sequence alignments (MSA) allows for accurate comparison of protein families. Here, we address the problems of detecting statistical...
Ruslan Sadreyev, Nick V. Grishin