Literature DB >> 22399469

Introduction to the analysis of environmental sequences: metagenomics with MEGAN.

Daniel H Huson1, Suparna Mitra.   

Abstract

Metagenomics is the study of microbial organisms using sequencing applied directly to environmental samples. Similarly, in metatranscriptomics and metaproteomics, the RNA and protein sequences of such samples are studied. The analysis of these kinds of data often starts by asking the questions of "who is out there?", "what are they doing?", and "how do they compare?". In this chapter, we describe how these computational questions can be addressed using MEGAN, the MEtaGenome ANalyzer program. We first show how to analyze the taxonomic and functional content of a single dataset and then show how such analyses can be performed in a comparative fashion. We demonstrate how to compare different datasets using ecological indices and other distance measures. The discussion is conducted using a number of published marine datasets comprising metagenomic, metatranscriptomic, metaproteomic, and 16S rRNA data.

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Year:  2012        PMID: 22399469     DOI: 10.1007/978-1-61779-585-5_17

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  36 in total

1.  Comparative Metagenomics of Eight Geographically Remote Terrestrial Hot Springs.

Authors:  Peter Menzel; Sóley Ruth Gudbergsdóttir; Anne Gunn Rike; Lianbing Lin; Qi Zhang; Patrizia Contursi; Marco Moracci; Jakob K Kristjansson; Benjamin Bolduc; Sergey Gavrilov; Nikolai Ravin; Andrey Mardanov; Elizaveta Bonch-Osmolovskaya; Mark Young; Anders Krogh; Xu Peng
Journal:  Microb Ecol       Date:  2015-02-25       Impact factor: 4.552

2.  Visual analysis of the quantitative composition of metagenomic communities: the AmphoraVizu webserver.

Authors:  Csaba Kerepesi; Balázs Szalkai; Vince Grolmusz
Journal:  Microb Ecol       Date:  2014-10-10       Impact factor: 4.552

3.  Destabilization of the gut microbiome marks the end-stage of simian immunodeficiency virus infection in wild chimpanzees.

Authors:  Hannah J Barbian; Yingying Li; Miguel Ramirez; Zachary Klase; Iddi Lipende; Deus Mjungu; Andrew H Moeller; Michael L Wilson; Anne E Pusey; Elizabeth V Lonsdorf; Frederic D Bushman; Beatrice H Hahn
Journal:  Am J Primatol       Date:  2015-12-16       Impact factor: 2.371

4.  Diatoms dominate the eukaryotic metatranscriptome during spring in coastal 'dead zone' sediments.

Authors:  Elias Broman; Varvara Sachpazidou; Mark Dopson; Samuel Hylander
Journal:  Proc Biol Sci       Date:  2017-10-11       Impact factor: 5.349

5.  Host availability drives distributions of fungal endophytes in the imperilled boreal realm.

Authors:  Jana M U'Ren; François Lutzoni; Jolanta Miadlikowska; Naupaka B Zimmerman; Ignazio Carbone; Georgiana May; A Elizabeth Arnold
Journal:  Nat Ecol Evol       Date:  2019-09-23       Impact factor: 15.460

6.  Transcriptome analyses to investigate symbiotic relationships between marine protists.

Authors:  Sergio Balzano; Erwan Corre; Johan Decelle; Roberto Sierra; Patrick Wincker; Corinne Da Silva; Julie Poulain; Jan Pawlowski; Fabrice Not
Journal:  Front Microbiol       Date:  2015-03-17       Impact factor: 5.640

Review 7.  Metagenomics: tools and insights for analyzing next-generation sequencing data derived from biodiversity studies.

Authors:  Anastasis Oulas; Christina Pavloudi; Paraskevi Polymenakou; Georgios A Pavlopoulos; Nikolas Papanikolaou; Georgios Kotoulas; Christos Arvanitidis; Ioannis Iliopoulos
Journal:  Bioinform Biol Insights       Date:  2015-05-05

8.  MetaMicrobesOnline: phylogenomic analysis of microbial communities.

Authors:  Dylan Chivian; Paramvir S Dehal; Keith Keller; Adam P Arkin
Journal:  Nucleic Acids Res       Date:  2012-11-30       Impact factor: 16.971

9.  Evaluating the impact of different sequence databases on metaproteome analysis: insights from a lab-assembled microbial mixture.

Authors:  Alessandro Tanca; Antonio Palomba; Massimo Deligios; Tiziana Cubeddu; Cristina Fraumene; Grazia Biosa; Daniela Pagnozzi; Maria Filippa Addis; Sergio Uzzau
Journal:  PLoS One       Date:  2013-12-09       Impact factor: 3.240

10.  Complete Genome Sequence of Bovine Polyomavirus Type 1 from Aborted Cattle, Isolated in Belgium in 2014.

Authors:  Steven Van Borm; Toon Rosseel; Isabelle Behaeghel; Marc Saulmont; Laurent Delooz; Thierry Petitjean; Elisabeth Mathijs; Frank Vandenbussche
Journal:  Genome Announc       Date:  2016-03-03
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