Recent Directions in Compressing Next Generation Sequencing Data

Malay      Bhattacharyya; Manas      Bhattacharyya; Sanghamitra      Bandyopadhyay

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

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Current Bioinformatics

Title: Recent Directions in Compressing Next Generation Sequencing Data

Volume: 7 Issue: 1

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

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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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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