Literature DB >> 21690186

Integrative analysis of environmental sequences using MEGAN4.

Daniel H Huson1, Suparna Mitra, Hans-Joachim Ruscheweyh, Nico Weber, Stephan C Schuster.   

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 examples illustrate how such analyses can be performed, and show that one can also import and compare classification results obtained using others' tools. MEGAN4 is freely available for academic purposes, and installers for all three major operating systems can be downloaded from www-ab.informatik.uni-tuebingen.de/software/megan.

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Year:  2011        PMID: 21690186      PMCID: PMC3166839          DOI: 10.1101/gr.120618.111

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  34 in total

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Journal:  Science       Date:  2005-04-22       Impact factor: 47.728

2.  MEGAN analysis of metagenomic data.

Authors:  Daniel H Huson; Alexander F Auch; Ji Qi; Stephan C Schuster
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Journal:  Science       Date:  2005-12-20       Impact factor: 47.728

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Journal:  PLoS Biol       Date:  2007-03       Impact factor: 8.029

9.  GenBank.

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  570 in total

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Journal:  J Virol       Date:  2011-12-14       Impact factor: 5.103

2.  A programmable droplet-based microfluidic device applied to multiparameter analysis of single microbes and microbial communities.

Authors:  Kaston Leung; Hans Zahn; Timothy Leaver; Kishori M Konwar; Niels W Hanson; Antoine P Pagé; Chien-Chi Lo; Patrick S Chain; Steven J Hallam; Carl L Hansen
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-30       Impact factor: 11.205

3.  CloudLCA: finding the lowest common ancestor in metagenome analysis using cloud computing.

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4.  Metagenomic analyses of drinking water receiving different disinfection treatments.

Authors:  Vicente Gomez-Alvarez; Randy P Revetta; Jorge W Santo Domingo
Journal:  Appl Environ Microbiol       Date:  2012-06-22       Impact factor: 4.792

5.  An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis.

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Review 6.  Potential for Monitoring Gut Microbiota for Diagnosing Infections and Graft-versus-Host Disease in Cancer and Stem Cell Transplant Patients.

Authors:  Andrew Y Koh
Journal:  Clin Chem       Date:  2017-07-18       Impact factor: 8.327

7.  Methylotrophic methanogenic Thermoplasmata implicated in reduced methane emissions from bovine rumen.

Authors:  Morten Poulsen; Clarissa Schwab; Bent Borg Jensen; Ricarda M Engberg; Anja Spang; Nuria Canibe; Ole Højberg; Gabriel Milinovich; Lena Fragner; Christa Schleper; Wolfram Weckwerth; Peter Lund; Andreas Schramm; Tim Urich
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

8.  Nitrogen removal and water microbiota in grass carp culture following supplementation with Bacillus licheniformis BSK-4.

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9.  AKE - the Accelerated k-mer Exploration web-tool for rapid taxonomic classification and visualization.

Authors:  Daniel Langenkämper; Alexander Goesmann; Tim Wilhelm Nattkemper
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10.  Epstein-Barr virus and human herpesvirus 6 detection in a non-Hodgkin's diffuse large B-cell lymphoma cohort by using RNA sequencing.

Authors:  Michael J Strong; Tina O'Grady; Zhen Lin; Guorong Xu; Melody Baddoo; Chris Parsons; Kun Zhang; Christopher M Taylor; Erik K Flemington
Journal:  J Virol       Date:  2013-09-18       Impact factor: 5.103

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