Artículo

MIToS.jl: mutual information tools for protein sequence analysis in the Julia language

Zea, Diego Javier Icon; Anfossi, Diego ; Nielsen, Morten Icon; Marino, Cristina Ester Icon

Otros responsables

Fecha

11/2016

Editorial

Oxford University Press

Revista

Bioinformatics (Oxford, England)

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Nombre del evento

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Institución organizadora

ISSN

1367-4803

eISSN

1367-4811

ISBN

Idioma

Inglés

Tipo del evento

Resumen

Motivation: MIToS is an environment for mutual information analysis and a framework for protein multiple sequence alignments (MSAs) and protein structures (PDB) management in Julia language. It integrates sequence and structural information through SIFTS, making Pfam MSAs analysis straightforward. MIToS streamlines the implementation of any measure calculated from residue contingency tables and its optimization and testing in terms of protein contact prediction. As an example, we implemented and tested a BLOSUM62-based pseudo-count strategy in mutual information analysis. Availability and Implementation: The software is totally implemented in Julia and supported for Linux, OS X and Windows. It's freely available on GitHub under MIT license: http://mitos.leloir.org.ar .

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Licencia Creative Commons

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