CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Zea"
  given-names: "Diego Javier"
  orcid: "https://orcid.org/0000-0002-4254-9320"
- family-names: "Anfossi"
  given-names: "Diego"
- family-names: "Nielsen"
  given-names: "Morten"
- family-names: "Marino-Buslje"
  given-names: "Cristina"
title: "MIToS.jl: mutual information tools for protein sequence analysis in the Julia
  language"
license: "MIT"
doi: "10.1093/bioinformatics/btw646"
preferred-citation:
  type: article
  title: "MIToS.jl: mutual information tools for protein sequence analysis in the Julia
    language"
  authors:
  - family-names: "Zea"
    given-names: "Diego Javier"
    orcid: "https://orcid.org/0000-0002-4254-9320"
  - family-names: "Anfossi"
    given-names: "Diego"
  - family-names: "Nielsen"
    given-names: "Morten"
  - family-names: "Marino-Buslje"
    given-names: "Cristina"
  journal: "Bioinformatics"
  volume: 33
  issue: 4
  year: 2016
  month: 11
  abstract: "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.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. Supplementary
    data are available at Bioinformatics online."
  issn: "1367-4803"
  doi: "10.1093/bioinformatics/btw646"
  url: "https://doi.org/10.1093/bioinformatics/btw646"
  start: 564
  end: 565