GREML-LDMS specifications

Unique identifier:
OMICS_13778
Interface:
Command line interface
Operating system:
Unix/Linux
Stability:
Stable
Software type:
Package/Module
Restrictions to use:
None
Computer skills:
Advanced
Maintained:
Yes

versioning

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No versioning.

GREML-LDMS support

Maintainer

This tool is not available anymore.

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Credits

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Publications

Institution(s)

Queensland Brain Institute, The University of Queensland, Queensland, Australia; The University of Queensland Diamantina Institute, The Translation Research Institute, Queensland, Australia; MRC Integrative Epidemiology Unit at the University of Bristol, School of Social and Community Medicine, Bristol, UK; School of Environmental and Rural Science, The University of New England, New South Wales, Australia; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands; Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands; Estonian Genome Center, University of Tartu, Tartu, Estonia; Division of Endocrinology, Boston Children’s Hospital, Cambridge, MA, USA; Program in Medical and Populational Genetics, Broad Institute, Cambridge, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA, USA; Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia; Cardiovascular Genetics and Genomics Group, Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden; Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, UK; Department of Haematology, University of Cambridge, Long Road, Cambridge, UK; Department of Psychology and Neuroscience, University of Colorado, Boulder, CO, USA; Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA; Faculty of Veterinary and Agricultural Science, University of Melbourne, Parkville, Victoria, Australia; Biosciences Research Division, Department of Economic Development, Jobs, Transport and Resources, Bundoora, Victoria, Australia

Funding source(s)

This work was supported by the Australian National Health and Medical Research Council (grants n°1052684, 1078037 and 1050218); the Australian Research Council (grant n°130102666); the National Institutes of Health (grant n°R01MH100141); the Sylvia & Charles Viertel Charitable Foundation, and the UQ Foundation.

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