seXY specifications

Information


Unique identifier OMICS_14676
Name seXY
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes

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Documentation


Maintainer


  • person_outline Christopher Amos <>

seXY article

seXY institution(s)
Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, USA; Department of Biological Sciences, Dartmouth College, Hanover, NH, USA; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia; Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK; Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA; Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
seXY funding source(s)
This work has been supported by National Institutes of Health grant P20GM103534 and the Paul K. Richter and Evalyn E. Cook Richter Memorial Fund.

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