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

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

doi:10.1093/bioinformatics/btw646

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

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

Fundación Instituto Leloir

Research output: Contribution to journal › Journal article › Research › peer-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:[email protected] or [email protected]

Supplementary information:
Supplementary data
are available at Bioinformatics online.

Original language	English
Article number	btw646
Journal	Bioinformatics
Volume	33
Issue number	4
Number of pages	2
ISSN	1367-4803
DOIs	https://doi.org/10.1093/bioinformatics/btw646
Publication status	Published - 2017

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title = "MIToS.jl: mutual information tools for protein sequence analysis in the Julia language",

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{\textquoteright}s freely available on GitHub under MIT license: http://mitos.leloir.org.ar.Contacts:[email protected] or [email protected] information:Supplementary dataare available at Bioinformatics online.",

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

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