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Computational Management of Alignment of Multiple Protein Sequences Using ClustalW

  • Riddhi SharmaEmail author
  • Sanjay Kumar Dubey
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1045)

Abstract

The astounding and multidisciplinary field of bioinformatics has had its origin in the year 1900, a decade before the concept of DNA sequencing became feasible and applicable to researchers. The era of the “new biology” that has a subtle link with the modern-day computers emerged and was accompanied by the birth as well as the development of other streams of sciences such as bioinformatics (it conceptualizes biology in reference to molecules and then applies “informatics techniques” (derived from computer science in this paper) to organize and understand the information that is related to these molecules. The several categories in bioinformatics focus on genomics (gene study), proteomics (protein study: which will be discussed in this paper), metabolomics (study of metabolic pathway within a cell), etc. and computational biology. Bioinformatics focuses on the application of IT and statistics. It is very significant to note here that bioinformatics does not have to do anything in the real world. Rather, it creates a virtual image of our living system having computerized biological knowledge, sequence, and structural information fed in the CPU and by using virtual-based techniques like mathematical modeling and through stimulation that helps in basic principles leading to its practical application. In bioinformatics, a sequence is subjected (or susceptible towards) to certain range of analytical methods in order to understand its function, or features, or structure, or evolution. Analysis of sequences can be very efficiently used to assign roles to certain genes and proteins as a result of the study of the various similarities between the compared sequences. In this research paper, comparison and alignment of multiple protein sequences are provided. It will help to generate a phylogenetic tree and also draw the relationships between the aligned sequences.

Keywords

Multiple sequence alignment Dynamic programming Pairwise alignment ClustalW Phylogenetic tree 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Amity UniversityNoidaIndia

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