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...
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, ...
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...
In this paper we present a parallel implementation of T–Coffee — a widely used multiple sequence alignment package. Our software supports a majority of options provided by the...
Jaroslaw Zola, Xiao Yang, Adrian Rospondek, Sriniv...
We have employed various sequence alignment algorithms and scoring techniques to determine whether current computational tools accurately predict genes that will be off-targeted b...
Amanda Birmingham, Emily M. Anderson, William S. M...