Literature DB >> 31278678

Introduction to the Analysis of Environmental Sequences: Metagenomics with MEGAN.

Caner Bağcı1, Sina Beier1, Anna Górska1, Daniel H Huson2.   

Abstract

Metagenomics has become a part of the standard toolkit for scientists interested in studying microbes in the environment. Compared to 16S rDNA sequencing, which allows coarse taxonomic profiling of samples, shotgun metagenomic sequencing provides a more detailed analysis of the taxonomic and functional content of samples. Long read technologies, such as developed by Pacific Biosciences or Oxford Nanopore, produce much longer stretches of informative sequence, greatly simplifying the difficult and time-consuming process of metagenomic assembly. MEGAN6 provides a wide range of analysis and visualization methods for the analysis of short and long read metagenomic data. A simple and efficient analysis pipeline for metagenomic analysis consists of the DIAMOND alignment tool on short reads, or the LAST alignment tool on long reads, followed by MEGAN. This approach performs taxonomic and functional abundance analysis, supports comparative analysis of large-scale experiments, and allows one to involve experimental metadata in the analysis.

Keywords:  Functional analysis; Long reads; MEGAN; Metagenomics; Software; Taxonomic analysis

Year:  2019        PMID: 31278678     DOI: 10.1007/978-1-4939-9074-0_19

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


  4 in total

1.  In silico determination of nitrogen metabolism in microbes from extreme conditions using metagenomics.

Authors:  Lulit Tilahun; Asfawossen Asrat; Gary M Wessel; Addis Simachew
Journal:  Arch Microbiol       Date:  2021-03-07       Impact factor: 2.552

2.  Diverse and unique viruses discovered in the surface water of the East China Sea.

Authors:  Shuang Wu; Liang Zhou; Yifan Zhou; Hongming Wang; Jinzhou Xiao; Shuling Yan; Yongjie Wang
Journal:  BMC Genomics       Date:  2020-06-26       Impact factor: 3.969

3.  Microbiota Supplementation with Bifidobacterium and Lactobacillus Modifies the Preterm Infant Gut Microbiota and Metabolome: An Observational Study.

Authors:  Cristina Alcon-Giner; Matthew J Dalby; Shabhonam Caim; Jennifer Ketskemety; Alex Shaw; Kathleen Sim; Melissa A E Lawson; Raymond Kiu; Charlotte Leclaire; Lisa Chalklen; Magdalena Kujawska; Suparna Mitra; Fahmina Fardus-Reid; Gustav Belteki; Katherine McColl; Jonathan R Swann; J Simon Kroll; Paul Clarke; Lindsay J Hall
Journal:  Cell Rep Med       Date:  2020-08-25

4.  Microbial functional genes are driven by gradients in sediment stoichiometry, oxygen, and salinity across the Baltic benthic ecosystem.

Authors:  Elias Broman; Dandan Izabel-Shen; Alejandro Rodríguez-Gijón; Stefano Bonaglia; Sarahi L Garcia; Francisco J A Nascimento
Journal:  Microbiome       Date:  2022-08-15       Impact factor: 16.837

  4 in total

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