GPfates specifications

Unique identifier:
OMICS_16720
Interface:
Command line interface
Operating system:
Unix/Linux
License:
MIT License
Version:
1.0.0
Requirements:
Numpy, Pandas, tqdm
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
Python
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes

versioning

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No versioning.

GPfates distribution

download

GPfates support

Documentation

Maintainer

  • Sarah Teichmann <>

forum

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Credits

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Publications

Institution(s)

European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK; Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK; QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland, Australia; Department of Microbiology and Immunology, Peter Doherty Institute, University of Melbourne, Parkville, Victoria, Australia; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK; National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge, UK; Department of Computer Science, University of Sheffield, Sheffield, UK; Australian Research Council Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Parkville, Victoria, Australia

Funding source(s)

This work was supported by Wellcome Trust (no. WT098051), European Research Council grant ThSWITCH (no. 260507), Australian National Health and Medical Research Council Project grant (number 1028641), a Career Development Fellowship (no. 1028643), University of Queensland, Australian Infectious Diseases Research Centre grants, the Lister Institute for Preventive Medicine, European Molecular Biology Laboratory Australia and OzEMalaR, the Lundbeck Foundation, and the Marie Curie Initial Training Networks grant “Machine Learning for Personalized Medicine” (EU FP7-PEOPLE Project Ref 316861, MLPM2012).

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