Anvi’o : an advanced analysis and visualization platform for ‘omics data

dc.contributor.author Eren, A. Murat
dc.contributor.author Esen, Ozcan C.
dc.contributor.author Quince, Christopher
dc.contributor.author Vineis, Joseph H.
dc.contributor.author Morrison, Hilary G.
dc.contributor.author Sogin, Mitchell L.
dc.contributor.author Delmont, Tom O.
dc.date.accessioned 2015-12-10T20:48:54Z
dc.date.available 2015-12-10T20:48:54Z
dc.date.issued 2015-10-08
dc.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. en_US
dc.description.abstract 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. en_US
dc.description.sponsorship 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. en_US
dc.format.mimetype application/pdf
dc.format.mimetype application/vnd.ms-excel
dc.format.mimetype image/png
dc.identifier.citation PeerJ 3 (2015): e1319 en_US
dc.identifier.doi 10.7717/peerj.1319
dc.identifier.uri https://hdl.handle.net/1912/7676
dc.language.iso en_US en_US
dc.publisher PeerJ en_US
dc.relation.uri https://doi.org/10.7717/peerj.1319
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject Metagenomics en_US
dc.subject Assembly en_US
dc.subject Genome binning en_US
dc.subject Visualization en_US
dc.subject SNP profiling en_US
dc.subject Metatranscriptomics en_US
dc.title Anvi’o : an advanced analysis and visualization platform for ‘omics data en_US
dc.type Article en_US
dspace.entity.type Publication
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