Recent Directions in Compressing Next Generation Sequencing Data

Author(s): Malay Bhattacharyya, Manas Bhattacharyya, Sanghamitra Bandyopadhyay.

Journal Name: Current Bioinformatics

Volume 7 , Issue 1 , 2012

Become EABM
Become Reviewer

Abstract:

Bioinformatics research in the last three decades has contributed quite a large number of methodologies for compressing genomic sequence data. However, recent progress in the next generation sequencing (NGS) techniques requires the development of more effective compression methods. In this review paper, a comprehensive overview of the state-of-the-art DNA sequence compression techniques for handling the exponential growth of DNA sequence data, emerging from NGS techniques, is provided.

Keywords: Cloud computing, next generation sequencing, sequence compression, DNA sequence data, NGS techniques, Arabidopsis thaliana, compression ratio, single nucleotide polymorphisms, genetic disease, genome

Rights & PermissionsPrintExport Cite as


Article Details

VOLUME: 7
ISSUE: 1
Year: 2012
Page: [2 - 6]
Pages: 5
DOI: 10.2174/157489312799304422

Article Metrics

PDF: 15