Performance Improvement of BLAST with Use of MSA Techniques to Search Ancestor Relationship among Bioinformatics Sequences
Journal Title: Invention Journal of Research Technology in Engineering & Management - Year 2018, Vol 2, Issue 5
Abstract
BLAST is most popular sequence alignment tool used to align bioinformatics patterns. It uses local alignment process in which instead comparing whole query sequence with database sequence it breaks query sequence into small words and these words are used to align patterns. it uses heuristic method which make it faster than earlier smith-waterman algorithm. But due small query sequence used for align in case of very large database with complex queries it may perform poor. To remove this draw back we suggest by using MSA tools which can filter database in by removing unnecessary sequences from data. This sorted data set then applies to BLAST which can then indentify relationship among them i.e. HOMOLOGS, ORTHOLOGS, PARALOGS. The proposed system can be further use to find relation among two persons or used to create family tree. Ortholog is interesting for a wide range of bioinformatics analyses, including functional annotation, phylogenetic inference, or genome evolution. This system describes and motivates the algorithm for predicting orthologous relationships among complete genomes. The algorithm takes a pairwise approach, thus neither requiring tree reconstruction nor reconciliation
Authors and Affiliations
Dr. Kamal Shah
Keywords
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