Literature DB >> 27797756

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

Diego J Zea1, Diego Anfossi1, Morten Nielsen2,3, Cristina Marino-Buslje1.   

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.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

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Year:  2017        PMID: 27797756     DOI: 10.1093/bioinformatics/btw646

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  3 in total

1.  BioProfiling.jl: Profiling biological perturbations with high-content imaging in single cells and heterogeneous populations.

Authors:  Loan Vulliard; Joel Hancock; Anton Kamnev; Christopher W Fell; Joana Ferreira da Silva; Joanna I Loizou; Vanja Nagy; Loïc Dupré; Jörg Menche
Journal:  Bioinformatics       Date:  2021-12-22       Impact factor: 6.937

2.  MISTIC2: comprehensive server to study coevolution in protein families.

Authors:  Eloy A Colell; Javier A Iserte; Franco L Simonetti; Cristina Marino-Buslje
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

3.  Chasing coevolutionary signals in intrinsically disordered proteins complexes.

Authors:  Javier A Iserte; Tamas Lazar; Silvio C E Tosatto; Peter Tompa; Cristina Marino-Buslje
Journal:  Sci Rep       Date:  2020-10-21       Impact factor: 4.379

  3 in total

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