GenTreat – computational pipeline for hybrid assembly of prokaryotic genomes
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
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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Brazilian Journal of Health Review |
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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 |
_version_ |
1797240035004645376 |