Academic Journals Database
Disseminating quality controlled scientific knowledge

Metagenomics - a guide from sampling to data analysis

ADD TO MY LIST
 
Author(s): Thomas Torsten | Gilbert Jack | Meyer Folker

Journal: Microbial Informatics and Experimentation
ISSN 2042-5783

Volume: 2;
Issue: 1;
Start page: 3;
Date: 2012;
Original page

Keywords: sampling | sequencing | assembly | binning | annotation | data storage | data sharing | DNA extraction | microbial ecology | microbial diversity

ABSTRACT
Abstract Metagenomics applies a suite of genomic technologies and bioinformatics tools to directly access the genetic content of entire communities of organisms. The field of metagenomics has been responsible for substantial advances in microbial ecology, evolution, and diversity over the past 5 to 10 years, and many research laboratories are actively engaged in it now. With the growing numbers of activities also comes a plethora of methodological knowledge and expertise that should guide future developments in the field. This review summarizes the current opinions in metagenomics, and provides practical guidance and advice on sample processing, sequencing technology, assembly, binning, annotation, experimental design, statistical analysis, data storage, and data sharing. As more metagenomic datasets are generated, the availability of standardized procedures and shared data storage and analysis becomes increasingly important to ensure that output of individual projects can be assessed and compared.
Affiliate Program     

Tango Jona
Tangokurs Rapperswil-Jona