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Underlying Effect of miRNA Patterns for Identification of Human Diseases

Published on May 2014 by Ranjeet Kumar Rout, Pabitra Pal Choudhury, Beauty Barman, Saurabh Singh, Uttari Chakraborty
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National Conference cum Workshop on Bioinformatics and Computational Biology
Foundation of Computer Science USA
NCWBCB - Number 1
May 2014
Authors: Ranjeet Kumar Rout, Pabitra Pal Choudhury, Beauty Barman, Saurabh Singh, Uttari Chakraborty
ddf254c7-4021-4c52-afac-abcbc6fb1420

Ranjeet Kumar Rout, Pabitra Pal Choudhury, Beauty Barman, Saurabh Singh, Uttari Chakraborty . Underlying Effect of miRNA Patterns for Identification of Human Diseases. National Conference cum Workshop on Bioinformatics and Computational Biology. NCWBCB, 1 (May 2014), 18-20.

@article{
author = { Ranjeet Kumar Rout, Pabitra Pal Choudhury, Beauty Barman, Saurabh Singh, Uttari Chakraborty },
title = { Underlying Effect of miRNA Patterns for Identification of Human Diseases },
journal = { National Conference cum Workshop on Bioinformatics and Computational Biology },
issue_date = { May 2014 },
volume = { NCWBCB },
number = { 1 },
month = { May },
year = { 2014 },
issn = 0975-8887,
pages = { 18-20 },
numpages = 3,
url = { /proceedings/ncwbcb/number1/16507-1407/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference cum Workshop on Bioinformatics and Computational Biology
%A Ranjeet Kumar Rout
%A Pabitra Pal Choudhury
%A Beauty Barman
%A Saurabh Singh
%A Uttari Chakraborty
%T Underlying Effect of miRNA Patterns for Identification of Human Diseases
%J National Conference cum Workshop on Bioinformatics and Computational Biology
%@ 0975-8887
%V NCWBCB
%N 1
%P 18-20
%D 2014
%I International Journal of Computer Applications
Abstract

MicroRNAs (miRNAs) originally an unappreciated class of small ribonucleic acids (RNAs) were diagnosed as moderate biological modifiers. Over the years rigorous research on microRNAs established them as a powerful regulator of various cellular processes like occurrence of different diseases. In this paper cellular automata approach is used by replacing the miRNA sequences with binary forms and using an evolutionary rule those sequences can be converted into distinct images. This is immensely helpful as the cellular automata images of the miRNA sequences help in deciphering various vital aspects which were previously unknown and thereby rendering it possible to find a pattern. Using this concept it becomes easier to distinguish amongst the different miRNA images and hence identify the influence of the segments of the miRNA sequences on the pattern of the corresponding images.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Mirna Cellular Automata State Space Images.