PyCoTools specifications

Information


Unique identifier OMICS_29484
Name PyCoTools
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Windows
Programming languages Javascript, Python
Computer skills Advanced
Stability Stable
Requirements
sphinx, ipykernel, nbsphinx, sphinx_rtd_theme, jupyter_client, pandoc, pandas, lxml, numpy, scipy, sklearn, psutil
Maintained Yes

Download


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Versioning


No version available

Documentation


Maintainers


  • person_outline Daryl Shanley
  • person_outline Stefan Przyborsk

Additional information


http://pycotools.readthedocs.io/en/copasiversion21/

Publication for PyCoTools

PyCoTools citation

library_books

Systems modelling ageing: from single senescent cells to simple multi cellular models

2017
PMCID: 5869859
PMID: 28698310
DOI: 10.1042/EBC20160087

[…] ses such as the parameter profile likelihood approach []. Various software packages exist that compute the parameter profile likelihoods including Data2Dynamics [], PottersWheel [] and COPASI [] with PyCoTools (https://github.com/CiaranWelsh/PyCoTools). Other routine types of analyses that are used in systems modelling include a global sensitivity analysis which measures a parameters impact on mod […]

PyCoTools institution(s)
Newcastle University, Newcastle, UK; Durham University, Durham, UK; Procter & Gamble, Cincinnati, OH, USA
PyCoTools funding source(s)
Supported by Procter & Gamble, the Medical Research Council and Arthritis Research UK as part of the MRC-Arthritis Research UK Centre for Integrated research into Musculoskeletal Ageing (CIMA) (MR/K006312/1), and a BBSRC LINK grant (BB/K019260/1).

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