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» Performance Analysis of Sequence Alignment Applications
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BMCBI
2005
132views more  BMCBI 2005»
13 years 9 months ago
Kalign - an accurate and fast multiple sequence alignment algorithm
Background: The alignment of multiple protein sequences is a fundamental step in the analysis of biological data. It has traditionally been applied to analyzing protein families f...
Timo Lassmann, Erik L. L. Sonnhammer
BMCBI
2006
134views more  BMCBI 2006»
13 years 9 months ago
A statistical score for assessing the quality of multiple sequence alignments
Background: Multiple sequence alignment is the foundation of many important applications in bioinformatics that aim at detecting functionally important regions, predicting protein...
Virpi Ahola, Tero Aittokallio, Mauno Vihinen, Esa ...
BMCBI
2007
147views more  BMCBI 2007»
13 years 9 months ago
MaxAlign: maximizing usable data in an alignment
Background: The presence of gaps in an alignment of nucleotide or protein sequences is often an inconvenience for bioinformatical studies. In phylogenetic and other analyses, for ...
Rodrigo Gouveia-Oliveira, Peter Wad Sackett, Ander...
CSB
2005
IEEE
167views Bioinformatics» more  CSB 2005»
14 years 2 months ago
SinicView: An Interactive Visualization Tool for Comparison of Multiple Sequence Alignment Results
In the initial stage of sequence analysis, a biologist is first faced with the questions about how to choose the best tool to align sequences of interest and how to analyze and v...
Arthur Chun-Chieh Shih, D. T. Lee, Laurent Lin, Ch...
BMCBI
2005
162views more  BMCBI 2005»
13 years 9 months ago
Accelerated probabilistic inference of RNA structure evolution
Background: Pairwise stochastic context-free grammars (Pair SCFGs) are powerful tools for evolutionary analysis of RNA, including simultaneous RNA sequence alignment and secondary...
Ian Holmes