Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

FPtool a software tool to obtain in silico genotype-phenotype signatures and fingerprints based on massive model simulations

View ORCID ProfileGuido Santos, View ORCID ProfileJulio Vera
doi: https://doi.org/10.1101/266775
Guido Santos
Laboratory of Systems Tumor Immunology, Department of Dermatology, Universitätsklinikum Erlangen and Faculty of Medicine, Friedrich-Alexander University Erlangen-Nürnberg, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Guido Santos
Julio Vera
Laboratory of Systems Tumor Immunology, Department of Dermatology, Universitätsklinikum Erlangen and Faculty of Medicine, Friedrich-Alexander University Erlangen-Nürnberg, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Julio Vera
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Fptool is an intuitive tool that provides to the user a preliminary fingerprint of the behaviour simulated by a mathematical model of a biochemical network when comparing two biological scenarios defined by the user. Here we present the tool and we applied to an already published mathematical model of lung legionella infection. The fingerprint obtained correlates with the results obtained in the original article. This tool is optimal for the users that would like to obtain a fast and preliminary view of the qualitative behaviour of a mathematical model before deciding for more elaborate analyses.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted February 18, 2018.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
FPtool a software tool to obtain in silico genotype-phenotype signatures and fingerprints based on massive model simulations
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
Share
FPtool a software tool to obtain in silico genotype-phenotype signatures and fingerprints based on massive model simulations
Guido Santos, Julio Vera
bioRxiv 266775; doi: https://doi.org/10.1101/266775
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
FPtool a software tool to obtain in silico genotype-phenotype signatures and fingerprints based on massive model simulations
Guido Santos, Julio Vera
bioRxiv 266775; doi: https://doi.org/10.1101/266775

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Systems Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (1519)
  • Biochemistry (2473)
  • Bioengineering (1727)
  • Bioinformatics (9648)
  • Biophysics (3884)
  • Cancer Biology (2961)
  • Cell Biology (4173)
  • Clinical Trials (135)
  • Developmental Biology (2620)
  • Ecology (4084)
  • Epidemiology (2031)
  • Evolutionary Biology (6868)
  • Genetics (5195)
  • Genomics (6482)
  • Immunology (2176)
  • Microbiology (6909)
  • Molecular Biology (2746)
  • Neuroscience (17197)
  • Paleontology (125)
  • Pathology (425)
  • Pharmacology and Toxicology (703)
  • Physiology (1050)
  • Plant Biology (2478)
  • Scientific Communication and Education (642)
  • Synthetic Biology (828)
  • Systems Biology (2680)
  • Zoology (429)