Homology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoa

Detalhes bibliográficos
Autor(a) principal: Campos, Darueck A.
Data de Publicação: 2018
Outros Autores: Pereira, Elisa C., Jardim, Rodrigo, Cuadrat, Rafael R. C., Bernardes, Juliana S., Dávila, Alberto M. R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/29521
Resumo: Instituto Federal de Educação, Ciência e Tecnologia do Acre. Rio Branco, AC, Brasil / Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Computacional e de Sistemas. Rio de Janeiro, RJ, Brasil.
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spelling Campos, Darueck A.Pereira, Elisa C.Jardim, RodrigoCuadrat, Rafael R. C.Bernardes, Juliana S.Dávila, Alberto M. R.2018-10-11T14:49:38Z2018-10-11T14:49:38Z2018CAMPOS, Darueck A. et al. Homology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoa. Evolutionary Bioinformatics, v.14, n.1-2, 12p, 2018.1176-9343https://www.arca.fiocruz.br/handle/icict/2952110.1177/1176934318785138engLibertas AcademicaHomologiaParasitasdomínios conservadosreconciliaçãoprotozoahomologyconserved domainsreconciliationdistant homologyHomology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleInstituto Federal de Educação, Ciência e Tecnologia do Acre. Rio Branco, AC, Brasil / Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Computacional e de Sistemas. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Computacional e de Sistemas. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Computacional e de Sistemas. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Computacional e de Sistemas. Rio de Janeiro, RJ, Brasil / Max Planck Institute for Biology of Ageing. Bioinformatics core facility. Cologne, Germany.Université Pierre et Marie Curie. Biologie Computationnelle et Quantitative. Paris, France.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Computacional e de Sistemas. Rio de Janeiro, RJ, Brasil.Protozoa parasites are responsible for several diseases in tropical countries, such as malaria, sleeping sickness, Chagas disease, leishmaniasis, amebiasis, and giardiasis, which together threaten millions of people around the world. In addition, most of the classic parasitic diseases due to protozoa are zoonotic. Understanding the biology of these organisms plays a relevant role in combating these diseases. Using homology inference and comparative genomics, this study targeted 3 protozoan species from different Phyla: Cryptosporidium muris (Apicomplexa), Entamoeba invadens (Amoebozoa), and Trypanosoma grayi (Euglenozoa). In this study, we propose a new approach for the identification of homologs, based on the reconciliation of the results of 2 different homology inference software programs. Our results showed that 46.1% (59/128) of the groups inferred by our reconciliation approach could be validated using this methodology. These validated groups are here called homologous Supergroups and were compared with SUPERFAMILY and Pfam Clans.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/29521/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALrodrigo_jardim_etal_IOC_2018.pdfrodrigo_jardim_etal_IOC_2018.pdfapplication/pdf1574250https://www.arca.fiocruz.br/bitstream/icict/29521/2/rodrigo_jardim_etal_IOC_2018.pdf7f89aa466d21b40ee919b7fe19fb0cf9MD52TEXTrodrigo_jardim_etal_IOC_2018.pdf.txtrodrigo_jardim_etal_IOC_2018.pdf.txtExtracted texttext/plain49306https://www.arca.fiocruz.br/bitstream/icict/29521/3/rodrigo_jardim_etal_IOC_2018.pdf.txt8536de02f7f0b9914396b2bab0064927MD53icict/295212022-06-24 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dc.title.pt_BR.fl_str_mv Homology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoa
title Homology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoa
spellingShingle Homology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoa
Campos, Darueck A.
Homologia
Parasitas
domínios conservados
reconciliação
protozoa
homology
conserved domains
reconciliation
distant homology
title_short Homology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoa
title_full Homology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoa
title_fullStr Homology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoa
title_full_unstemmed Homology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoa
title_sort Homology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoa
author Campos, Darueck A.
author_facet Campos, Darueck A.
Pereira, Elisa C.
Jardim, Rodrigo
Cuadrat, Rafael R. C.
Bernardes, Juliana S.
Dávila, Alberto M. R.
author_role author
author2 Pereira, Elisa C.
Jardim, Rodrigo
Cuadrat, Rafael R. C.
Bernardes, Juliana S.
Dávila, Alberto M. R.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Campos, Darueck A.
Pereira, Elisa C.
Jardim, Rodrigo
Cuadrat, Rafael R. C.
Bernardes, Juliana S.
Dávila, Alberto M. R.
dc.subject.other.pt_BR.fl_str_mv Homologia
Parasitas
domínios conservados
reconciliação
topic Homologia
Parasitas
domínios conservados
reconciliação
protozoa
homology
conserved domains
reconciliation
distant homology
dc.subject.en.pt_BR.fl_str_mv protozoa
homology
conserved domains
reconciliation
distant homology
description Instituto Federal de Educação, Ciência e Tecnologia do Acre. Rio Branco, AC, Brasil / Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Computacional e de Sistemas. Rio de Janeiro, RJ, Brasil.
publishDate 2018
dc.date.accessioned.fl_str_mv 2018-10-11T14:49:38Z
dc.date.available.fl_str_mv 2018-10-11T14:49:38Z
dc.date.issued.fl_str_mv 2018
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.citation.fl_str_mv CAMPOS, Darueck A. et al. Homology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoa. Evolutionary Bioinformatics, v.14, n.1-2, 12p, 2018.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/29521
dc.identifier.issn.pt_BR.fl_str_mv 1176-9343
dc.identifier.doi.none.fl_str_mv 10.1177/1176934318785138
identifier_str_mv CAMPOS, Darueck A. et al. Homology Inference Based on a Reconciliation Approach for the Comparative Genomics of Protozoa. Evolutionary Bioinformatics, v.14, n.1-2, 12p, 2018.
1176-9343
10.1177/1176934318785138
url https://www.arca.fiocruz.br/handle/icict/29521
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Libertas Academica
publisher.none.fl_str_mv Libertas Academica
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/29521/1/license.txt
https://www.arca.fiocruz.br/bitstream/icict/29521/2/rodrigo_jardim_etal_IOC_2018.pdf
https://www.arca.fiocruz.br/bitstream/icict/29521/3/rodrigo_jardim_etal_IOC_2018.pdf.txt
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