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Plasmid ATLAS: plasmid visual analytics and identification in high-throughput sequencing data
Plasmid ATLAS (pATLAS, http://www.patlas.site) provides an easy-to-use web accessible database with visual analytics tools to explore the relationships of plasmids available in NCBI’s RefSeq database. pATLAS has two main goals: (i) to provide an easy way to search for plasmids deposited in NCBI RefS...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323984/ https://www.ncbi.nlm.nih.gov/pubmed/30395323 http://dx.doi.org/10.1093/nar/gky1073 |
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author | Jesus, Tiago F Ribeiro-Gonçalves, Bruno Silva, Diogo N Bortolaia, Valeria Ramirez, Mário Carriço, João A |
author_facet | Jesus, Tiago F Ribeiro-Gonçalves, Bruno Silva, Diogo N Bortolaia, Valeria Ramirez, Mário Carriço, João A |
author_sort | Jesus, Tiago F |
collection | PubMed |
description | Plasmid ATLAS (pATLAS, http://www.patlas.site) provides an easy-to-use web accessible database with visual analytics tools to explore the relationships of plasmids available in NCBI’s RefSeq database. pATLAS has two main goals: (i) to provide an easy way to search for plasmids deposited in NCBI RefSeq and their associated metadata; (ii) to visualize the relationships of plasmids in a graph, allowing the exploration of plasmid evolution. pATLAS allows searching by plasmid name, bacterial host taxa, antibiotic resistance and virulence genes, plasmid families, and by sequence length and similarity. pATLAS is also able to represent in the plasmid network, plasmid sets identified by external pipelines using mapping, mash screen or assembly from high-throughput sequencing data. By representing the identified hits within the network of relationships between plasmids, allowing the possibility of removing redundant results, and by taking advantage of the browsing capabilities of pATLAS, users can more easily interpret the pipelines’ results. All these analyses can be saved to a JSON file for sharing and future re-evaluation. Furthermore, by offering a REST-API, the pATLAS database and network display are easily accessible by other interfaces or pipelines. |
format | Online Article Text |
id | pubmed-6323984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63239842019-01-10 Plasmid ATLAS: plasmid visual analytics and identification in high-throughput sequencing data Jesus, Tiago F Ribeiro-Gonçalves, Bruno Silva, Diogo N Bortolaia, Valeria Ramirez, Mário Carriço, João A Nucleic Acids Res Database Issue Plasmid ATLAS (pATLAS, http://www.patlas.site) provides an easy-to-use web accessible database with visual analytics tools to explore the relationships of plasmids available in NCBI’s RefSeq database. pATLAS has two main goals: (i) to provide an easy way to search for plasmids deposited in NCBI RefSeq and their associated metadata; (ii) to visualize the relationships of plasmids in a graph, allowing the exploration of plasmid evolution. pATLAS allows searching by plasmid name, bacterial host taxa, antibiotic resistance and virulence genes, plasmid families, and by sequence length and similarity. pATLAS is also able to represent in the plasmid network, plasmid sets identified by external pipelines using mapping, mash screen or assembly from high-throughput sequencing data. By representing the identified hits within the network of relationships between plasmids, allowing the possibility of removing redundant results, and by taking advantage of the browsing capabilities of pATLAS, users can more easily interpret the pipelines’ results. All these analyses can be saved to a JSON file for sharing and future re-evaluation. Furthermore, by offering a REST-API, the pATLAS database and network display are easily accessible by other interfaces or pipelines. Oxford University Press 2019-01-08 2018-11-05 /pmc/articles/PMC6323984/ /pubmed/30395323 http://dx.doi.org/10.1093/nar/gky1073 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Jesus, Tiago F Ribeiro-Gonçalves, Bruno Silva, Diogo N Bortolaia, Valeria Ramirez, Mário Carriço, João A Plasmid ATLAS: plasmid visual analytics and identification in high-throughput sequencing data |
title | Plasmid ATLAS: plasmid visual analytics and identification in high-throughput sequencing data |
title_full | Plasmid ATLAS: plasmid visual analytics and identification in high-throughput sequencing data |
title_fullStr | Plasmid ATLAS: plasmid visual analytics and identification in high-throughput sequencing data |
title_full_unstemmed | Plasmid ATLAS: plasmid visual analytics and identification in high-throughput sequencing data |
title_short | Plasmid ATLAS: plasmid visual analytics and identification in high-throughput sequencing data |
title_sort | plasmid atlas: plasmid visual analytics and identification in high-throughput sequencing data |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323984/ https://www.ncbi.nlm.nih.gov/pubmed/30395323 http://dx.doi.org/10.1093/nar/gky1073 |
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