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Reference Based Genomic Data Compression Using R Programming

M. Mary Shanthi Rani1 , S. Jegatheesh Chandra Bose2

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-04 , Page no. 328-331, May-2018

Online published on May 31, 2018

Copyright © M. Mary Shanthi Rani , S. Jegatheesh Chandra Bose . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M. Mary Shanthi Rani , S. Jegatheesh Chandra Bose , “Reference Based Genomic Data Compression Using R Programming,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.04, pp.328-331, 2018.

MLA Style Citation: M. Mary Shanthi Rani , S. Jegatheesh Chandra Bose "Reference Based Genomic Data Compression Using R Programming." International Journal of Computer Sciences and Engineering 06.04 (2018): 328-331.

APA Style Citation: M. Mary Shanthi Rani , S. Jegatheesh Chandra Bose , (2018). Reference Based Genomic Data Compression Using R Programming. International Journal of Computer Sciences and Engineering, 06(04), 328-331.

BibTex Style Citation:
@article{Rani_2018,
author = {M. Mary Shanthi Rani , S. Jegatheesh Chandra Bose },
title = {Reference Based Genomic Data Compression Using R Programming},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {06},
Issue = {04},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {328-331},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=406},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=406
TI - Reference Based Genomic Data Compression Using R Programming
T2 - International Journal of Computer Sciences and Engineering
AU - M. Mary Shanthi Rani , S. Jegatheesh Chandra Bose
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 328-331
IS - 04
VL - 06
SN - 2347-2693
ER -

           

Abstract

Genomics has become a hot research area in medical field for diagnosis of monogenetic disorder identification, pharmaco genetics, targeted therapy, genome editing and personalized medicine. Each human genome consists of 3 billion pairs which are to be effectively stored and transmitted for analysis. This process necessitates the development of novel genomic data compression algorithms. In this paper a referential based method for compressing genomes has been proposed. The input and reference genomes are compared for dissimilarities and further entropy coded to achieve high compression ratio.

Key-Words / Index Term

FASTA file, Genomic data compression, R-Programming, Huffman coding, BIG DATA.

References

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