Is a collection of models to analyze genome scale codon
data using a Bayesian framework. Provides visualization
routines and checkpointing for model fittings. Currently
published models to analyze gene data for selection on codon
usage based on Ribosome Overhead Cost (ROC) are: ROC (Gilchrist et
|Author||Cedric Landerer [aut, cre], Gabriel Hanas [ctb], Jeremy Rogers [ctb], Alex Cope [ctb]|
|Date of publication||2018-01-11 12:01:10 UTC|
|Maintainer||Cedric Landerer <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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