PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/7948 |
Resumo: | High Throughput Sequencing provides a cost effective means of generating high resolution data for hundreds or even thousands of strains, and is rapidly superseding methodologies based on a few genomic loci. The wealth of genomic data deposited on public databases such as Sequence Read Archive/European Nucleotide Archive provides a powerful resource for evolutionary analysis and epidemiological surveillance. However, many of the analysis tools currently available do not scale well to these large datasets, nor provide the means to fully integrate ancillary data. Here we present PHYLOViZ 2.0, an extension of PHYLOViZ tool, a platform independent Java tool that allows phylogenetic inference and data visualization for large datasets of sequence based typing methods, including Single Nucleotide Polymorphism ( SNP) and whole genome/core genome Multilocus Sequence Typing (wg/cgMLST) analysis. PHYLOViZ 2.0 incorporates new data analysis algorithms and new visualization modules, as well as the capability of saving projects for subsequent work or for dissemination of results. |
id |
RCAP_3291ff99a9cdd772c88d53d80613f0e1 |
---|---|
oai_identifier_str |
oai:repositorio.ipl.pt:10400.21/7948 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methodsTyping dataBacterialEburstToolsHigh Throughput Sequencing provides a cost effective means of generating high resolution data for hundreds or even thousands of strains, and is rapidly superseding methodologies based on a few genomic loci. The wealth of genomic data deposited on public databases such as Sequence Read Archive/European Nucleotide Archive provides a powerful resource for evolutionary analysis and epidemiological surveillance. However, many of the analysis tools currently available do not scale well to these large datasets, nor provide the means to fully integrate ancillary data. Here we present PHYLOViZ 2.0, an extension of PHYLOViZ tool, a platform independent Java tool that allows phylogenetic inference and data visualization for large datasets of sequence based typing methods, including Single Nucleotide Polymorphism ( SNP) and whole genome/core genome Multilocus Sequence Typing (wg/cgMLST) analysis. PHYLOViZ 2.0 incorporates new data analysis algorithms and new visualization modules, as well as the capability of saving projects for subsequent work or for dissemination of results.Oxford University PressRCIPLNascimento, MartaSousa, AdrianoRamirez, MarioFrancisco, AlexandreCarrico, JoaoVaz, Cátia2018-01-19T11:30:37Z2017-012017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/7948engNASCIMENTO, Marta; [et al] – PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods. Bioinformatics. ISSN 1367-4803. Vol. 33, N.º 1 (2017), pp. 128-1291367-480310.1093/bioinformatics/btw582metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T09:54:43Zoai:repositorio.ipl.pt:10400.21/7948Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:16:48.098193Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods |
title |
PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods |
spellingShingle |
PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods Nascimento, Marta Typing data Bacterial Eburst Tools |
title_short |
PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods |
title_full |
PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods |
title_fullStr |
PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods |
title_full_unstemmed |
PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods |
title_sort |
PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods |
author |
Nascimento, Marta |
author_facet |
Nascimento, Marta Sousa, Adriano Ramirez, Mario Francisco, Alexandre Carrico, Joao Vaz, Cátia |
author_role |
author |
author2 |
Sousa, Adriano Ramirez, Mario Francisco, Alexandre Carrico, Joao Vaz, Cátia |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Nascimento, Marta Sousa, Adriano Ramirez, Mario Francisco, Alexandre Carrico, Joao Vaz, Cátia |
dc.subject.por.fl_str_mv |
Typing data Bacterial Eburst Tools |
topic |
Typing data Bacterial Eburst Tools |
description |
High Throughput Sequencing provides a cost effective means of generating high resolution data for hundreds or even thousands of strains, and is rapidly superseding methodologies based on a few genomic loci. The wealth of genomic data deposited on public databases such as Sequence Read Archive/European Nucleotide Archive provides a powerful resource for evolutionary analysis and epidemiological surveillance. However, many of the analysis tools currently available do not scale well to these large datasets, nor provide the means to fully integrate ancillary data. Here we present PHYLOViZ 2.0, an extension of PHYLOViZ tool, a platform independent Java tool that allows phylogenetic inference and data visualization for large datasets of sequence based typing methods, including Single Nucleotide Polymorphism ( SNP) and whole genome/core genome Multilocus Sequence Typing (wg/cgMLST) analysis. PHYLOViZ 2.0 incorporates new data analysis algorithms and new visualization modules, as well as the capability of saving projects for subsequent work or for dissemination of results. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01 2017-01-01T00:00:00Z 2018-01-19T11:30:37Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.21/7948 |
url |
http://hdl.handle.net/10400.21/7948 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
NASCIMENTO, Marta; [et al] – PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods. Bioinformatics. ISSN 1367-4803. Vol. 33, N.º 1 (2017), pp. 128-129 1367-4803 10.1093/bioinformatics/btw582 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Oxford University Press |
publisher.none.fl_str_mv |
Oxford University Press |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799133429446475776 |