Genetic Algorithm for Whole Genome Sequence Percentage Similarity

4 Pages Posted: 2 Apr 2020

See all articles by K Srija

K Srija

Amity University

P.P.R. Prithvi

Amity University

Alka Grover

Amity University

Shivani Chandra

Amity University

Date Written: April 1, 2020

Abstract

The chromosomes have varied genes however; genes are often vulnerable to re-arrangement. When DNA sequences of homologous species are subjected to BLAST, they are aligned and gaps are subsequently added whenever there is a mismatch. But, the percentage similarity cannot be concluded when there is gene re-arrangement and hence, the percentage similarity needs to be retrieved by comparing the DNA sequences position to position to identify the gene re-arrangements and an authentic percentage similarity.

Therefore, an algorithm has been developed in Java programming language which can retrieve the sequence similarity by position to position comparison without inserting any gaps thereby, making the algorithm authentic as it results out the raw percentage of sequence similarity. The authenticities have been further tested by retrieving the signature sequence belonging to one of the two DNA sequences and by further modifying the given algorithm and also by comparing the results with BLAST results.

Keywords: gene re-arrangement, algorithm, whole genome sequence similarity, gaps, signature sequence

Suggested Citation

Srija, K and Prithvi, P.P.R. and Grover, Alka and Chandra, Shivani, Genetic Algorithm for Whole Genome Sequence Percentage Similarity (April 1, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3565805 or http://dx.doi.org/10.2139/ssrn.3565805

K Srija

Amity University ( email )

AIB, Sec-125
Amity University, Sector 125
Noida, Uttar Pradesh 2013003
India

P.P.R. Prithvi

Amity University ( email )

ASET- IT Department, Sec-125
Amity University, Sector 125
Noida, UT Uttar Pradesh 2013003
India

Alka Grover

Amity University ( email )

ASET- IT Department, Sec-125
Amity University, Sector 125
Noida, UT Uttar Pradesh 2013003
India

Shivani Chandra (Contact Author)

Amity University ( email )

ASET- IT Department, Sec-125
Amity University, Sector 125
Noida, UT Uttar Pradesh 2013003
India

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
150
Abstract Views
853
Rank
494,203
PlumX Metrics