BOLT-REML specifications

Information


Unique identifier OMICS_13777
Name BOLT-REML
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data A genotype
Input format BED, BIM, FAM
Output data A tab-delimited with many fields
Operating system Unix/Linux
License GNU General Public License version 3.0, MIT License
Computer skills Advanced
Version 2.2
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Alkes Price <>

BOLT-REML article

BOLT-REML institution(s)
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA; The Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia; School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia; Department of Psychiatry and Human Genetics, Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA; MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
BOLT-REML funding source(s)
This work was supported by US National Institutes of Health (grants n°R01HG006399 and R01MH101244); US National Institutes of Health fellowship (grant n°F32HG007805); the Fannie and John Hertz Foundation; Members of the Schizophrenia Working Group of the Psychiatric Genomics Consortium; the Genetic Cluster Computer; the Netherlands Scientific Organization (grant n°NWO 480-05-003 PI); the Dutch Brain Foundation; the VU University Amsterdam and the Orchestra High Performance Compute Cluster at Harvard Medical School (grant n°NCRR 1S10RR028832-01).

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