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

Diego J. Zea, Diego Anfossi, Morten Nielsen, Cristina Marino-Buslje

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    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.

    Contacts:diegozea@gmail.com or cmb@leloir.org.ar

    Supplementary information:
    Supplementary data
    are available at Bioinformatics online.
    Original languageEnglish
    Article numberbtw646
    JournalBioinformatics
    Volume33
    Issue number4
    Number of pages2
    ISSN1367-4803
    DOIs
    Publication statusPublished - 2017

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