©2021-2032 All Rights Reserved. Online Journal of Bioinformatics. You may not store these pages in any form except for your own personal use. All other usage or distribution is illegal under international copyright treaties. Permission to use any of these pages in any other way besides the before mentioned must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to email@example.com publications. This article may be copied once but may not be, reproduced or re-transmitted without the express permission of the editors. Linking: To link to this page or any pages linking to this page you must link directly to this page only here rather than put up your own page.
Online Journal of Bioinformatics©
Volume 22 (3): 209-229, 2021.
V Amouda1, D Visalakshi1, Tofayel Ahmed1, S Kuppuswami2
1Centre for Bioinformatics, 2Department of Computer Science, Pondicherry University, Puducherry, India.
Amouda V, Visalakshi D, Ahmed T, Kuppuswami S., Introns, Onl J Bioinform., 22 (3): 209-229, 2021. An intron is a non-coding DNA region within a gene that is not translated into protein and is at a critical juncture in theories on evolution. Research has been characterized by extensive sequencing of genomes and annotations for finding exon sequences expressed as proteins. However, little attention has been directed towards introns which constitute largest sections of genome. We report multiple sequence alignment algorithms, statistics, databases and species distribution for intron discovery. Genetic algorithms can be applied on intron sequence alignments for patterns of evolution and distribution to create databases.
Key-words: Introns, alignments, algorithms, statistics, databases, species distribution.
FULL-TEXT (SUBSCRIBE OR PURCHASE TITLE)