ஜர்னல் ஆஃப் ஹெல்த் இன்ஃபர்மேடிக்ஸ் & மேனேஜ்மென்ட்

A Novel Method for Multiple Sequence Alignment Using Morphing Techniques

Quoc-Nam Tran and Mike Wallinga

We review a novel computational method for Multiple Sequence Alignment (MSA), a fundamental problem in computational biology. In contrast to other known approaches, our method searches for an optimal alignment - structurally and evolutionarily by inserting or deleting gaps from a set of initial candidates in an efficient manner. Our method called a Universal Partitioning Search (UPS) approach for MSA uses graphical morphism to guarantee that the scores of the alignment candidates are always improved after each particle swarm optimization iteration.