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  ntroduction to the Analysis of Environmental Sequences: Metagenomics with MEGAN

Bağci, C., Beier, S., Górska, A., & Huson, D. (2019). ntroduction to the Analysis of Environmental Sequences: Metagenomics with MEGAN. In Evolutionary Genomics: Statistical and Computational Methods (pp. 591-604). New York, NY, USA: Humana Press.

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 Creators:
Bağci, C1, Author                 
Beier, S, Author
Górska, A1, Author           
Huson, DH1, Author                 
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1External Organizations, ou_persistent22              

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 Abstract: Metagenomics has become a part of the standard toolkit for scientists interested in studying microbes in the environment. Compared to 16S rDNA sequencing, which allows coarse taxonomic profiling of samples, shotgun metagenomic sequencing provides a more detailed analysis of the taxonomic and functional content of samples. Long read technologies, such as developed by Pacific Biosciences or Oxford Nanopore, produce much longer stretches of informative sequence, greatly simplifying the difficult and time-consuming process of metagenomic assembly. MEGAN6 provides a wide range of analysis and visualization methods for the analysis of short and long read metagenomic data. A simple and efficient analysis pipeline for metagenomic analysis consists of the DIAMOND alignment tool on short reads, or the LAST alignment tool on long reads, followed by MEGAN. This approach performs taxonomic and functional abundance analysis, supports comparative analysis of large-scale experiments, and allows one to involve experimental metadata in the analysis.

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 Dates: 2019
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1007/978-1-4939-9074-0_19
PMID: 31278678
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Title: Evolutionary Genomics: Statistical and Computational Methods
Source Genre: Book
 Creator(s):
Anisimova, M, Painter
Affiliations:
-
Publ. Info: New York, NY, USA : Humana Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 591 - 604 Identifier: ISBN: 978-1-4939-9073-3
DOI: 10.1007/978-1-4939-9074-0

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Title: Methods in Molecular Biology
  Other : Methods Mol. Biol.
Source Genre: Series
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Publ. Info: US : Springer
Pages: - Volume / Issue: 1910 Sequence Number: - Start / End Page: - Identifier: ISSN: 1064-3745
CoNE: https://pure.mpg.de/cone/journals/resource/954927725544