Literature DB >> 24060133

Microbial community analysis using MEGAN.

Daniel H Huson1, Nico Weber.   

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.
© 2013 Elsevier Inc. All rights reserved.

Entities:  

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

Mesh:

Substances:

Year:  2013        PMID: 24060133     DOI: 10.1016/B978-0-12-407863-5.00021-6

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  77 in total

1.  Metagenomic analysis of rapid gravity sand filter microbial communities suggests novel physiology of Nitrospira spp.

Authors:  Alejandro Palomo; S Jane Fowler; Arda Gülay; Simon Rasmussen; Thomas Sicheritz-Ponten; Barth F Smets
Journal:  ISME J       Date:  2016-04-29       Impact factor: 10.302

2.  MG-RAST version 4-lessons learned from a decade of low-budget ultra-high-throughput metagenome analysis.

Authors:  Folker Meyer; Saurabh Bagchi; Somali Chaterji; Wolfgang Gerlach; Ananth Grama; Travis Harrison; Tobias Paczian; William L Trimble; Andreas Wilke
Journal:  Brief Bioinform       Date:  2019-07-19       Impact factor: 11.622

3.  Protective major histocompatibility complex allele prevents type 1 diabetes by shaping the intestinal microbiota early in ontogeny.

Authors:  Michael Silverman; Lindsay Kua; Alessandro Tanca; Mauro Pala; Antonio Palomba; Ceylan Tanes; Kyle Bittinger; Sergio Uzzau; Christophe Benoist; Diane Mathis
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-22       Impact factor: 11.205

4.  Lack of Overt Genome Reduction in the Bryostatin-Producing Bryozoan Symbiont "Candidatus Endobugula sertula".

Authors:  Ian J Miller; Niti Vanee; Stephen S Fong; Grace E Lim-Fong; Jason C Kwan
Journal:  Appl Environ Microbiol       Date:  2016-10-27       Impact factor: 4.792

5.  Novel Bioinformatics Strategies Driving Dynamic Metaproteomic Studies.

Authors:  Caitlin M A Simopoulos; Daniel Figeys; Mathieu Lavallée-Adam
Journal:  Methods Mol Biol       Date:  2022

6.  Probiotics L. acidophilus and B. clausii Modulate Gut Microbiota in Th1- and Th2-Biased Mice to Ameliorate Salmonella Typhimurium-Induced Diarrhea.

Authors:  Biswaranjan Pradhan; Dipanjan Guha; Aman Kumar Naik; Arka Banerjee; Subodh Tambat; Saurabh Chawla; Shantibhusan Senapati; Palok Aich
Journal:  Probiotics Antimicrob Proteins       Date:  2019-09       Impact factor: 4.609

7.  Limited beneficial effects of piceatannol supplementation on obesity complications in the obese Zucker rat: gut microbiota, metabolic, endocrine, and cardiac aspects.

Authors:  E Hijona; L Aguirre; P Pérez-Matute; M J Villanueva-Millán; A Mosqueda-Solis; M Hasnaoui; F Nepveu; J M Senard; L Bujanda; L Aldámiz-Echevarría; M Llarena; F Andrade; P Perio; F Leboulanger; L Hijona; J M Arbones-Mainar; M P Portillo; C Carpéné
Journal:  J Physiol Biochem       Date:  2016-01-20       Impact factor: 4.158

Review 8.  Association Between Gut Microbiota and Bone Health: Potential Mechanisms and Prospective.

Authors:  Yuan-Cheng Chen; Jonathan Greenbaum; Hui Shen; Hong-Wen Deng
Journal:  J Clin Endocrinol Metab       Date:  2017-10-01       Impact factor: 5.958

9.  Reduced microbial potential for the degradation of phenolic compounds in the rhizosphere of apple plantlets grown in soils affected by replant disease.

Authors:  Viviane Radl; Jana Barbro Winkler; Susanne Kublik; Luhua Yang; Traud Winkelmann; Gisle Vestergaard; Peter Schröder; Michael Schloter
Journal:  Environ Microbiome       Date:  2019-11-07

10.  Discriminating between JCPyV and BKPyV in Urinary Virome Data Sets.

Authors:  Rita Mormando; Alan J Wolfe; Catherine Putonti
Journal:  Viruses       Date:  2021-05-31       Impact factor: 5.048

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.