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Metagenome Data Analysis

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Genome Data Analysis

Part of the book series: Learning Materials in Biosciences ((LMB))

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Abstract

In this chapter, we learn how to use the metagenomeSeq in the R package for both metadata and functional analyses of metagenomes using published data. It includes preprocessing and annotation methods such as gene-centered, pathway-centered, and functional diversity analyses.

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Notes

  1. 1.

    ► http://ab.inf.uni-tuebingen.de/software/megan6/

  2. 2.

    ► http://metagenomics.anl.gov

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Authors and Affiliations

  1. Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, South Korea

    Ju Han Kim

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  1. Ju Han Kim
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© 2019 Springer Nature Singapore Pte Ltd.

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Kim, J.H. (2019). Metagenome Data Analysis. In: Genome Data Analysis. Learning Materials in Biosciences. Springer, Singapore. https://doi.org/10.1007/978-981-13-1942-6_19

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