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Methods Enzymol. 2013;531:465-85. doi: 10.1016/B978-0-12-407863-5.00021-6.

Microbial community analysis using MEGAN.

Author information

1
Center for Bioinformatics, University of Tübingen, Tübingen, Germany. Electronic address: daniel.huson@uni-tuebingen.de.

Abstract

Metagenomics, the study of microbes in the environment using DNA sequencing, depends upon dedicated software tools for processing and analyzing very large sequencing datasets. One such tool is MEGAN (MEtaGenome ANalyzer), which can be used to interactively analyze and compare metagenomic and metatranscriptomic data, both taxonomically and functionally. To perform a taxonomic analysis, the program places the reads onto the NCBI taxonomy, while functional analysis is performed by mapping reads to the SEED, COG, and KEGG classifications. Samples can be compared taxonomically and functionally, using a wide range of different charting and visualization techniques. PCoA analysis and clustering methods allow high-level comparison of large numbers of samples. Different attributes of the samples can be captured and used within analysis. The program supports various input formats for loading data and can export analysis results in different text-based and graphical formats. The program is designed to work with very large samples containing many millions of reads. It is written in Java and installers for the three major computer operating systems are available from http://www-ab.informatik.uni-tuebingen.de.

KEYWORDS:

algorithms; bioinformatics; functional analysis; metagenomics; software; taxonomic analysis

[Indexed for MEDLINE]

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