MHOLline 2.0: Workflow for automatic large-scale modeling and analysis of proteins

Artur Duque Rossi, Pedro Henrique Eveling Oliveira, Dimitri Guglinski Siqueira, Victor Crisóstomo Cruz Reis, Laurent Emmanuel Dardenne, Priscila Vanessa Zabala Capriles Goliatt

Resumo


Genomes and their proteins can be analyzed by different perspectives, with different goals and applicability of results in several areas of research. In bioinformatics and computational biology, it is common the use of multiple combinations of programs and databases to extract information from the raw data. Choosing the proper program, setting its parameters, filtering the input files, extracting information from output files, and creating scripts for automating tasks can be challenging. This work describes the MHOLline, an online scientific workflow that provides a set of modules that enables a broad large-scale analysis of proteins (e.g. whole genomes) in a few hours. The version 1.0 (released in 2010), was wholly reformulated, and the new version 2.0 is available at www.mholline2.lncc.br. This version presents new features, modules, interface, code optimization, runtime reduction, more security, a new results visualization interface, and an automatic and user-friendly refinement page


Palavras-chave


Protein Sequence Analysis; Scientific Workflow; Bioinformatics; Computational Biology

Texto completo:

PDF


DOI: http://dx.doi.org/10.21575/25254782rmetg2020vol5n61325

Apontamentos

  • Não há apontamentos.


Direitos autorais 2020 Artur Duque Rossi

Revista Mundi Engenharia, Tecnologia e Gestão ISSN 2525-4782

Qualis: B4 - Interdisciplinar, B5 - Geografia, B5 - Administração Pública e de Empresas, Ciências Contábeis e Turismo, B5 - Comunicação e Informação, B5 - Engenharias III