RepEx: A web server to extract sequence repeats from protein and DNA sequences

Michael, D and Gurusaran, M and Santhosh, R and Hussain, MK and Satheesh, SN and Suhan, S and Sivaranjan, P and Jaiswal, A and Sekar, K (2019) RepEx: A web server to extract sequence repeats from protein and DNA sequences. In: Computational Biology and Chemistry, 78 . pp. 424-430.

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Abstract

Evolution builds up new genetic material from existing ones, not in random, but in highly ordered and eloquent patterns. Most of these sequence repeats are revelatory of valuable information contributing to areas of disease research and function of macromolecules, to name a few. In the age of next generation genome sequencing, rapid and efficient extraction of all unbiased sequence repeats from macromolecules is the need of the hour. In view of this reckoning, an online web-based computing server, RepEx, has been developed to extract and display all possible repeats for DNA and protein sequences. Apart from exact or identical repeats, the server has been designed adeptly to identify and extract degenerate, inverted, everted and mirror repeats from both DNA and protein sequences. The server has striking output displays, featuring interactive graphs and comprehensive output files. In addition, RepEx has been accoutered with an easy-to-use interface and search filters to facilitate a user-defined query or search and is freely available and accessible via the World Wide Web at http://bioserver2.physics.iisc.ac.in/RepEx/.

Item Type:	Journal Article
Publication:	Computational Biology and Chemistry
Publisher:	Elsevier Ltd
Additional Information:	The copyright for this article belongs to Elsevier Ltd .
Keywords:	DNA; Proteins; Web services, DNA repeats; Inverted repeat; Palindrome; Repeat sequences; Similar repeats, DNA sequences, DNA; microsatellite DNA; protein, amino acid sequence; computer interface; genetics; Internet; software, Amino Acid Sequence; DNA; Internet; Microsatellite Repeats; Proteins; Software; User-Computer Interface
Department/Centre:	Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited:	29 Nov 2022 06:14
Last Modified:	29 Nov 2022 06:14
URI:	https://eprints.iisc.ac.in/id/eprint/78075

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