Integrative analysis of environmental sequences using MEGAN4
Bernstein Center for Computational Neuroscience Tübingen · University of Tübingen · +1 more institution
Abstract
A major challenge in the analysis of environmental sequences is data integration. The question is how to analyze different types of data in a unified approach, addressing both the taxonomic and functional aspects. To facilitate such analyses, we have substantially extended MEGAN, a widely used taxonomic analysis program. The new program, MEGAN4, provides an integrated approach to the taxonomic and functional analysis of metagenomic, metatranscriptomic, metaproteomic, and rRNA data. While taxonomic analysis is performed based on the NCBI taxonomy, functional analysis is performed using the SEED classification of subsystems and functional roles or the KEGG classification of pathways and enzymes. A number of…
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Authors
5- DHDaniel H. HusonCorresponding
Bernstein Center for Computational Neuroscience Tübingen, University of Tübingen
- SMSuparna Mitra
Bernstein Center for Computational Neuroscience Tübingen, University of Tübingen
- HRHans‐Joachim Ruscheweyh
Bernstein Center for Computational Neuroscience Tübingen, University of Tübingen
- NWNico Weber
Bernstein Center for Computational Neuroscience Tübingen, University of Tübingen
- SCStephan C. Schuster
Pennsylvania State University
Topics & keywords
- Metagenomics
- Biology
- Biological classification
- KEGG
- Taxonomy (biology)
- Computational biology
- Software
- Taxonomic rank
- Life in Land