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        Next Generation Sequencing - Advances, Applications and Challenges

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        Contributor(s)
        Kulski, Jerzy K (editor)
        Language
        English
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        Abstract
        Next generation sequencing (NGS) has surpassed the traditional Sanger sequencing method to become the main choice for large-scale, genome-wide sequencing studies with ultra-high-throughput production and a huge reduction in costs. The NGS technologies have had enormous impact on the studies of structural and functional genomics in all the life sciences. In this book, Next Generation Sequencing Advances, Applications and Challenges, the sixteen chapters written by experts cover various aspects of NGS including genomics, transcriptomics and methylomics, the sequencing platforms, and the bioinformatics challenges in processing and analysing huge amounts of sequencing data. Following an overview of the evolution of NGS in the brave new world of omics, the book examines the advances and challenges of NGS applications in basic and applied research on microorganisms, agricultural plants and humans. This book is of value to all who are interested in DNA sequencing and bioinformatics across all fields of the life sciences.
        URI
        http://library.oapen.org/handle/20.500.12657/31544
        Keywords
        molecular biology; biochemistry; genetics
        DOI
        10.5772/60489
        ISBN
        9789535122401
        OCN
        1030819120
        Publisher
        InTechOpen
        Publisher website
        https://www.intechopen.com/
        Publication date and place
        2016
        Classification
        Biochemistry
        Chapters in this book
        • Chapter 5 Computational Analysis and Integration of MeDIP-seq Methylome Data
        Rights
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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