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
Current Bioinformatics
Title: Recent Directions in Compressing Next Generation Sequencing Data
Volume: 7 Issue: 1
Author(s): Malay Bhattacharyya, Manas Bhattacharyya and Sanghamitra Bandyopadhyay
Affiliation:
Keywords: Cloud computing, next generation sequencing, sequence compression, DNA sequence data, NGS techniques, Arabidopsis thaliana, compression ratio, single nucleotide polymorphisms, genetic disease, genome
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.
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Cite this article as:
Bhattacharyya Malay, Bhattacharyya Manas and Bandyopadhyay Sanghamitra, Recent Directions in Compressing Next Generation Sequencing Data, Current Bioinformatics 2012; 7 (1) . https://dx.doi.org/10.2174/157489312799304422
DOI https://dx.doi.org/10.2174/157489312799304422 |
Print ISSN 1574-8936 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-392X |

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