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Anvi’o: an advanced analysis and visualization platform for ‘omics data
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 diff...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4614810/ https://www.ncbi.nlm.nih.gov/pubmed/26500826 http://dx.doi.org/10.7717/peerj.1319 |
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author | Eren, A. Murat Esen, Özcan C. Quince, Christopher Vineis, Joseph H. Morrison, Hilary G. Sogin, Mitchell L. Delmont, Tom O. |
author_facet | Eren, A. Murat Esen, Özcan C. Quince, Christopher Vineis, Joseph H. Morrison, Hilary G. Sogin, Mitchell L. Delmont, Tom O. |
author_sort | Eren, A. Murat |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-4614810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-46148102015-10-23 Anvi’o: an advanced analysis and visualization platform for ‘omics data Eren, A. Murat Esen, Özcan C. Quince, Christopher Vineis, Joseph H. Morrison, Hilary G. Sogin, Mitchell L. Delmont, Tom O. PeerJ Bioinformatics 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. PeerJ Inc. 2015-10-08 /pmc/articles/PMC4614810/ /pubmed/26500826 http://dx.doi.org/10.7717/peerj.1319 Text en © 2015 Eren et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Eren, A. Murat Esen, Özcan C. Quince, Christopher Vineis, Joseph H. Morrison, Hilary G. Sogin, Mitchell L. Delmont, Tom O. Anvi’o: an advanced analysis and visualization platform for ‘omics data |
title | Anvi’o: an advanced analysis and visualization platform for ‘omics data |
title_full | Anvi’o: an advanced analysis and visualization platform for ‘omics data |
title_fullStr | Anvi’o: an advanced analysis and visualization platform for ‘omics data |
title_full_unstemmed | Anvi’o: an advanced analysis and visualization platform for ‘omics data |
title_short | Anvi’o: an advanced analysis and visualization platform for ‘omics data |
title_sort | anvi’o: an advanced analysis and visualization platform for ‘omics data |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4614810/ https://www.ncbi.nlm.nih.gov/pubmed/26500826 http://dx.doi.org/10.7717/peerj.1319 |
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