Reference Based Genomic Data Compression Using R Programming

Authors

  • Rani MS Dept.of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University), Dindigul, India
  • Bose JC Dept.of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University), Dindigul, India

Keywords:

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

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

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Published

2025-11-13

How to Cite

[1]
M. M. S. Rani and S. J. C. Bose, “Reference Based Genomic Data Compression Using R Programming”, Int. J. Comp. Sci. Eng., vol. 6, no. 4, pp. 328–332, Nov. 2025.

Issue

Vol. 6 No. 4 (2018): IJCSE Special Issue May Edition

Section

Research Article

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