Year: 2017
Type: review
Abstract: The microbiome can be defined as the community of microorganisms that live in a particular environment. Metagenomics is the practice of sequencing DNA from the genomes of all organisms present in a particular sample, and has become a common method for the study of microbiome population structure and function. Increasingly, researchers are finding novel genes encoded within metagenomes, many of which may be of interest to the biotechnology and pharmaceutical industries. However, such "bioprospecting" requires a suite of sophisticated bioinformatics tools to make sense of the data. This review summarizes the most commonly used bioinformatics tools for the assembly and annotation of metagenomic sequence data with the aim of discovering novel genes.
Source: Frontiers in Genetics
Authors: Despoina D. Roumpeka, R. John Wallace, Frank Escalettes, Ian Fotheringham, Mick Watson
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,921
Awards: Target discovery and screening of novel industrial biocatalysts using metagenomic sequencing of multiple ruminant microbiomes, Establishing the infrastructure for functional annotation of farmed animal genomes, G4311600644, G4746283397, G4872214141, National Capability Grant - Edinburgh Genomics, Understanding the functional and genomic architecture of the rumen microbiome affecting performance traits in bovines
OpenAlex ID: W2595593998