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dc.contributor.author
Calvento, Julián H.  
dc.contributor.author
Bulgarelli, Franco Leonardo  
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Velez Rueda, Ana Julia  
dc.date.available
2024-01-15T15:58:32Z  
dc.date.issued
2022-07  
dc.identifier.citation
Calvento, Julián H.; Bulgarelli, Franco Leonardo; Velez Rueda, Ana Julia; OBI: A computational tool for the analysis and systematization of the positive selection in proteins; Elsevier; MethodsX; 9; 7-2022; 1-8  
dc.identifier.issn
2215-0161  
dc.identifier.uri
http://hdl.handle.net/11336/223634  
dc.description.abstract
There are multiple tools for positive selection analysis, including vaccine design and detection of variants of circulating drug-resistant pathogens in population selection. However, applying these tools to analyze a large number of protein families or as part of a comprehensive phylogenomics pipeline could be challenging. Since many standard bioinformatics tools are only available as executables, integrating them into complex Bioinformatics pipelines may not be possible. We have developed OBI, an open-source tool aimed to facilitate positive selection analysis on a large scale. It can be used as a stand-alone command-line app that can be easily installed and used as a Conda package. Some advantages of using OBI are: • It speeds up the analysis by automating the entire process • It allows multiple starting points and customization for the analysis • It allows the retrieval and linkage of structural and evolutive data for a protein through We hope to provide with OBI a solution for reliably speeding up large-scale protein evolutionary and structural analysis.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
OBI  
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PROTEINS EVOLUTION  
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PYTHON LIBRARY  
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STRUCTURAL BIOINFORMATICS PIPELINE  
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Bioquímica y Biología Molecular  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
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Química Orgánica  
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Ciencias Químicas  
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CIENCIAS NATURALES Y EXACTAS  
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Ciencias de la Información y Bioinformática  
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Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
OBI: A computational tool for the analysis and systematization of the positive selection in proteins  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-01-12T15:34:53Z  
dc.journal.volume
9  
dc.journal.pagination
1-8  
dc.journal.pais
Países Bajos  
dc.description.fil
Fil: Calvento, Julián H.. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
dc.description.fil
Fil: Bulgarelli, Franco Leonardo. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
dc.description.fil
Fil: Velez Rueda, Ana Julia. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.journal.title
MethodsX  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.mex.2022.101786