GenTreat – computational pipeline for hybrid assembly of prokaryotic genomes

Detalhes bibliográficos
Autor(a) principal: dos Santos, Victória Cardoso
Data de Publicação: 2023
Outros Autores: Moia, Gislenne da Silva, de Oliveira, Mônica Silva, Alves, Jorianne Thyeska Castro, de Sá, Pablo Henrique Caracciolo Gomes, Veras, Adonney Allan de Oliveira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Health Review
Texto Completo: https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/63258
Resumo: The development of omics sciences has been greatly influenced by sequencing technologies. However, the large volume of data generated by these technologies necessitates the development of new computational tools for processing and analysis, particularly in genome assembly. Two main approaches are commonly used for assembly: reference-based assembly, which maps sequencing reads against a reference genome, and de novo assembly, which performs assembly without a reference. De novo assembly techniques include Overlap Layoutconsensus, De Bruijn graph, and greedy algorithms. Although numerous tools have been developed over the years, challenges persist, including fragmented assembly results and redundant contigs. As a result, new methods have emerged, such as hybrid assembly strategies that combine results from different assemblers. However, existing tools utilizing this strategy often involve extensive and complex command lines. GenTreat is a computational pipeline with an intuitive graphical interface, was developed for automated hybrid assembly of prokaryotic genomes, performs assembly using two assemblers, merges the results, and then orders and annotates the assembled genome. Validation using raw reads from 61 organisms demonstrated that is a viable alternative for automated hybrid assembly, eliminating the need for using extensive command lines. The tool is available at: https://sourceforge.net/projects/gentreat/.
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spelling GenTreat – computational pipeline for hybrid assembly of prokaryotic genomespipelinehybrid assemblyassemblyNGSprokaryoteThe development of omics sciences has been greatly influenced by sequencing technologies. However, the large volume of data generated by these technologies necessitates the development of new computational tools for processing and analysis, particularly in genome assembly. Two main approaches are commonly used for assembly: reference-based assembly, which maps sequencing reads against a reference genome, and de novo assembly, which performs assembly without a reference. De novo assembly techniques include Overlap Layoutconsensus, De Bruijn graph, and greedy algorithms. Although numerous tools have been developed over the years, challenges persist, including fragmented assembly results and redundant contigs. As a result, new methods have emerged, such as hybrid assembly strategies that combine results from different assemblers. However, existing tools utilizing this strategy often involve extensive and complex command lines. GenTreat is a computational pipeline with an intuitive graphical interface, was developed for automated hybrid assembly of prokaryotic genomes, performs assembly using two assemblers, merges the results, and then orders and annotates the assembled genome. Validation using raw reads from 61 organisms demonstrated that is a viable alternative for automated hybrid assembly, eliminating the need for using extensive command lines. The tool is available at: https://sourceforge.net/projects/gentreat/.Brazilian Journals Publicações de Periódicos e Editora Ltda.2023-09-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/6325810.34119/bjhrv6n5-271Brazilian Journal of Health Review; Vol. 6 No. 5 (2023); 22348-22382Brazilian Journal of Health Review; Vol. 6 Núm. 5 (2023); 22348-22382Brazilian Journal of Health Review; v. 6 n. 5 (2023); 22348-223822595-6825reponame:Brazilian Journal of Health Reviewinstname:Federação das Indústrias do Estado do Paraná (FIEP)instacron:BJRHenghttps://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/63258/45502dos Santos, Victória CardosoMoia, Gislenne da Silvade Oliveira, Mônica SilvaAlves, Jorianne Thyeska Castrode Sá, Pablo Henrique Caracciolo GomesVeras, Adonney Allan de Oliveirainfo:eu-repo/semantics/openAccess2023-09-20T11:37:59Zoai:ojs2.ojs.brazilianjournals.com.br:article/63258Revistahttp://www.brazilianjournals.com/index.php/BJHR/indexPRIhttps://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/oai|| brazilianjhr@gmail.com2595-68252595-6825opendoar:2023-09-20T11:37:59Brazilian Journal of Health Review - Federação das Indústrias do Estado do Paraná (FIEP)false
dc.title.none.fl_str_mv GenTreat – computational pipeline for hybrid assembly of prokaryotic genomes
title GenTreat – computational pipeline for hybrid assembly of prokaryotic genomes
spellingShingle GenTreat – computational pipeline for hybrid assembly of prokaryotic genomes
dos Santos, Victória Cardoso
pipeline
hybrid assembly
assembly
NGS
prokaryote
title_short GenTreat – computational pipeline for hybrid assembly of prokaryotic genomes
title_full GenTreat – computational pipeline for hybrid assembly of prokaryotic genomes
title_fullStr GenTreat – computational pipeline for hybrid assembly of prokaryotic genomes
title_full_unstemmed GenTreat – computational pipeline for hybrid assembly of prokaryotic genomes
title_sort GenTreat – computational pipeline for hybrid assembly of prokaryotic genomes
author dos Santos, Victória Cardoso
author_facet dos Santos, Victória Cardoso
Moia, Gislenne da Silva
de Oliveira, Mônica Silva
Alves, Jorianne Thyeska Castro
de Sá, Pablo Henrique Caracciolo Gomes
Veras, Adonney Allan de Oliveira
author_role author
author2 Moia, Gislenne da Silva
de Oliveira, Mônica Silva
Alves, Jorianne Thyeska Castro
de Sá, Pablo Henrique Caracciolo Gomes
Veras, Adonney Allan de Oliveira
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv dos Santos, Victória Cardoso
Moia, Gislenne da Silva
de Oliveira, Mônica Silva
Alves, Jorianne Thyeska Castro
de Sá, Pablo Henrique Caracciolo Gomes
Veras, Adonney Allan de Oliveira
dc.subject.por.fl_str_mv pipeline
hybrid assembly
assembly
NGS
prokaryote
topic pipeline
hybrid assembly
assembly
NGS
prokaryote
description The development of omics sciences has been greatly influenced by sequencing technologies. However, the large volume of data generated by these technologies necessitates the development of new computational tools for processing and analysis, particularly in genome assembly. Two main approaches are commonly used for assembly: reference-based assembly, which maps sequencing reads against a reference genome, and de novo assembly, which performs assembly without a reference. De novo assembly techniques include Overlap Layoutconsensus, De Bruijn graph, and greedy algorithms. Although numerous tools have been developed over the years, challenges persist, including fragmented assembly results and redundant contigs. As a result, new methods have emerged, such as hybrid assembly strategies that combine results from different assemblers. However, existing tools utilizing this strategy often involve extensive and complex command lines. GenTreat is a computational pipeline with an intuitive graphical interface, was developed for automated hybrid assembly of prokaryotic genomes, performs assembly using two assemblers, merges the results, and then orders and annotates the assembled genome. Validation using raw reads from 61 organisms demonstrated that is a viable alternative for automated hybrid assembly, eliminating the need for using extensive command lines. The tool is available at: https://sourceforge.net/projects/gentreat/.
publishDate 2023
dc.date.none.fl_str_mv 2023-09-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/63258
10.34119/bjhrv6n5-271
url https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/63258
identifier_str_mv 10.34119/bjhrv6n5-271
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/63258/45502
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brazilian Journals Publicações de Periódicos e Editora Ltda.
publisher.none.fl_str_mv Brazilian Journals Publicações de Periódicos e Editora Ltda.
dc.source.none.fl_str_mv Brazilian Journal of Health Review; Vol. 6 No. 5 (2023); 22348-22382
Brazilian Journal of Health Review; Vol. 6 Núm. 5 (2023); 22348-22382
Brazilian Journal of Health Review; v. 6 n. 5 (2023); 22348-22382
2595-6825
reponame:Brazilian Journal of Health Review
instname:Federação das Indústrias do Estado do Paraná (FIEP)
instacron:BJRH
instname_str Federação das Indústrias do Estado do Paraná (FIEP)
instacron_str BJRH
institution BJRH
reponame_str Brazilian Journal of Health Review
collection Brazilian Journal of Health Review
repository.name.fl_str_mv Brazilian Journal of Health Review - Federação das Indústrias do Estado do Paraná (FIEP)
repository.mail.fl_str_mv || brazilianjhr@gmail.com
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