Multiple Sequence alignment (MSA) is a generalization of Pairwise Sequence Alignment to multiple sequences. Thus, instead of aligning two sequences, the objective in MSA is to align k sequences simultaneously such an overall functional is optimized. The motivation behind doing a MSA is that it allows us to extract consensus evident in a widely diverse set of sequences. The similarities we observe across a wider range of sequences can help us better understand the evolutionary history of sequences as well as help infer a functional relationship amongst a group of biological sequences. Particularly for protein sequences, MSA can provide insight into the secondary/tertiary structure of proteins and discover critical consensus motifs and common blocks representative of protein domains or the functional units. Generally however, before performing the MSA step, typically we already know that the set of sequences being aligned are related, and our objective is to discover those regions and strength of relatedness.
CITATION STYLE
Singh, G. B. (2015). Multiple sequence alignment. In Modeling and Optimization in Science and Technologies (Vol. 6, pp. 143–158). Springer Verlag. https://doi.org/10.1007/978-3-319-11403-3_7
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