Artículo
OBI: A computational tool for the analysis and systematization of the positive selection in proteins
Fecha de publicación:
07/2022
Editorial:
Elsevier
Revista:
MethodsX
ISSN:
2215-0161
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
OBI
,
PROTEINS EVOLUTION
,
PYTHON LIBRARY
,
STRUCTURAL BIOINFORMATICS PIPELINE
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Licencia
Identificadores
Colecciones
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
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
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