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Metagenome Assembly and Contig Assignment

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Microbiome Analysis

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1849))

Abstract

The recent development of metagenomic assembly has revolutionized metagenomic data analysis, thanks to the improvement of sequencing techniques, more powerful computational infrastructure and the development of novel algorithms and methods. Using longer assembled contigs rather than raw reads improves the process of metagenomic binning and annotation significantly, ultimately resulting in a deeper understanding of the microbial dynamics of the metagenomic samples being analyzed. In this chapter, we demonstrate a typical metagenomic analysis pipeline including raw read quality evaluation and trimming, assembly and contig binning. Alternative tools that can be used for each step are also discussed.

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Author information

Authors and Affiliations

  1. Department of Energy, Joint Genome Institute, Walnut Creek, CA, USA

    Qingpeng Zhang

Authors
  1. Qingpeng Zhang
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada

    Robert G. Beiko

  2. Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada

    Will Hsiao

  3. Program in Molecular Medicine, The Hospital for Sick Children, Toronto, ON, Canada

    John Parkinson

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Zhang, Q. (2018). Metagenome Assembly and Contig Assignment. In: Beiko, R., Hsiao, W., Parkinson, J. (eds) Microbiome Analysis. Methods in Molecular Biology, vol 1849. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8728-3_12

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  • DOI: https://doi.org/10.1007/978-1-4939-8728-3_12

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-8726-9

  • Online ISBN: 978-1-4939-8728-3

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