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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...

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Autores principales: Jesus, Tiago F, Ribeiro-Gonçalves, Bruno, Silva, Diogo N, Bortolaia, Valeria, Ramirez, Mário, Carriço, João A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
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.
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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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