GNOVA specifications

Unique identifier:
OMICS_16685
Software type:
Framework/Library
Restrictions to use:
None
Programming languages:
Python
Computer skills:
Advanced
Requirements:
Numpy, Scipy, Pandas, sklearn, bitarray
Name:
GeNetic cOVariance Analyzer
Interface:
Command line interface
Operating system:
Unix/Linux
License:
GNU General Public License version 3.0
Stability:
Stable
Maintained:
Yes

versioning

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GNOVA distribution

download

GNOVA support

Documentation

Maintainer

  • Hongyu Zhao <>

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Credits

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Publications

Institution(s)

Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA; Yale School of Medicine, New Haven, CT, USA; Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Yale College, New Haven, CT, USA; Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China; Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, WA, USA; VA Cooperative Studies Program Coordinating Center, West Haven, CT, USA

Funding source(s)

Supported in part by the National Institutes of Health grants R01 GM59507, the VA Cooperative Studies Program of the Department of Veterans Affairs, Office of Research and Development, and the Yale World Scholars Program sponsored by the China Scholarship Council and by grant R01 AG042437 and U01 AG006781.

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