B-GREAT specifications

Information


Unique identifier OMICS_21568
Name B-GREAT
Alternative name Bayesian Growth Rate Effect Analysis and Test
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Stability Stable
Requirements git
Maintained Yes

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Publication for Bayesian Growth Rate Effect Analysis and Test

B-GREAT institution(s)
Program in Computational Biology and Bioinformatics, Duke University, Durham, NC, USA; Biology Department, Duke University, Durham, NC, USA; Computer Science Department, Center for Statistics and Machine Learning, Princeton University, Princeton, NJ, USA
B-GREAT funding source(s)
Supported by a National Science Foundation (NSF) Graduate Research Fellowship; by the National Institutes of Health (NIH) R00 HG006265, NIH R01 MH101822, and a Sloan Faculty Fellowship (Alfred P. Sloan Foundation) and by NSF MCB-141-7750.

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