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Higher Compression from Burrows-Wheeler Transform for DNA Sequence

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Rexline S. J., Aju Richard Gerard, Trujilla Lobo F.

Rexline S J., Aju Richard Gerard and Trujilla Lobo F.. Higher Compression from Burrows-Wheeler Transform for DNA Sequence. International Journal of Computer Applications 173(3):11-15, September 2017. BibTeX

	author = {Rexline S. J. and Aju Richard Gerard and Trujilla Lobo F.},
	title = {Higher Compression from Burrows-Wheeler Transform for DNA Sequence},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2017},
	volume = {173},
	number = {3},
	month = {Sep},
	year = {2017},
	issn = {0975-8887},
	pages = {11-15},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2017915261},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Large amount of space is required to store biological sequences in DNA database like GenBank sequence database. The data storage for biological sequences has become very essential in today’s current situation. Standard compression algorithms are not competent enough to compress biological sequences. In recent times, special algorithms have been introduced specifically for the purpose of compressing the biological sequences like DNA and protein sequences. In this paper, the Burrows-Wheeler Transform (BWT) based approaches are explored to compress the biological sequences. In comparison with the existing general purpose compression algorithms, the proposed BWT based method compresses these types of sequences better and at the same time the cost of Burrows-Wheeler Transform is almost insignificant.


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DNA sequence compression, Burrows-Wheeler Transform, BWT and genome.