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» Overestimation for Multiple Sequence Alignment
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BMCBI
2010
198views more  BMCBI 2010»
13 years 7 months ago
ClustalXeed: a GUI-based grid computation version for high performance and terabyte size multiple sequence alignment
Background: There is an increasing demand to assemble and align large-scale biological sequence data sets. The commonly used multiple sequence alignment programs are still limited...
Taeho Kim, Hyun Joo
ICPP
2007
IEEE
14 years 1 months ago
Efficient Parallel Algorithm for Optimal Three-Sequences Alignment
Sequence alignment is a fundamental problem in the computational biology. Many alignment methods have been proposed in the literature, such as pair-wise sequence alignment (2SA), ...
Chun-Yuan Lin, Chen Tai Huang, Yeh-Ching Chung, Ch...
TCBB
2008
120views more  TCBB 2008»
13 years 7 months ago
Learning Scoring Schemes for Sequence Alignment from Partial Examples
When aligning biological sequences, the choice of scoring scheme is critical. Even small changes in gap penalties, for example, can yield radically different alignments. A rigorous...
Eagu Kim, John D. Kececioglu
CPM
1998
Springer
115views Combinatorics» more  CPM 1998»
13 years 12 months ago
Aligning Alignments
d abstract) John Kececioglu and Dean Starrett Department of Computer Science The University of Arizona Tucson AZ 85721, USA A basic computational problem that arises in both the...
John D. Kececioglu, Weiqing Zhang
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