Publication Date:
2022-05-25
Description:
© The Author(s), 2015. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in PeerJ 3 (2015): e1319, doi:10.7717/peerj.1319.
Description:
Advances in high-throughput sequencing and ‘omics technologies are revolutionizing studies of naturally occurring microbial communities. Comprehensive investigations of microbial lifestyles require the ability to interactively organize and visualize genetic information and to incorporate subtle differences that enable greater resolution of complex data. Here we introduce anvi’o, an advanced analysis and visualization platform that offers automated and human-guided characterization of microbial genomes in metagenomic assemblies, with interactive interfaces that can link ‘omics data from multiple sources into a single, intuitive display. Its extensible visualization approach distills multiple dimensions of information about each contig, offering a dynamic and unified work environment for data exploration, manipulation, and reporting. Using anvi’o, we re-analyzed publicly available datasets and explored temporal genomic changes within naturally occurring microbial populations through de novo characterization of single nucleotide variations, and linked cultivar and single-cell genomes with metagenomic and metatranscriptomic data. Anvi’o is an open-source platform that empowers researchers without extensive bioinformatics skills to perform and communicate in-depth analyses on large ‘omics datasets.
Description:
AME was supported by the G. Unger Vetlesen Foundation. The project was supported by the Frank R. Lillie Research Innovation Award given by the University of Chicago and the Marine Biological Laboratory.
Keywords:
Metagenomics
;
Assembly
;
Genome binning
;
Visualization
;
SNP profiling
;
Metatranscriptomics
Repository Name:
Woods Hole Open Access Server
Type:
Article
Format:
application/pdf
Format:
application/vnd.ms-excel
Format:
image/png
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