cubfits: Codon Usage Bias Fits

Estimating mutation and selection coefficients on synonymous codon bias usage based on models of ribosome overhead cost (ROC). Multinomial logistic regression and Markov Chain Monte Carlo are used to estimate and predict protein production rates with/without the presence of expressions and measurement errors. Work flows with examples for simulation, estimation and prediction processes are also provided with parallelization speedup. The whole framework is tested with yeast genome and gene expression data of Yassour (2009).

Version: 0.1-2
Depends: R (≥ 3.0.0), methods, coda, foreach, parallel, stats, graphics, utils
Suggests: seqinr, VGAM, EMCluster
Enhances: pbdMPI (≥ 0.3-1)
Published: 2016-01-24
Author: Wei-Chen Chen [aut, cre], Russell Zaretzki [aut], William Howell [aut], Cedric Landerer [aut], Drew Schmidt [aut], Michael A. Gilchrist [aut], Preston Hewgley [ctb], Students REU13 [ctb]
Maintainer: Wei-Chen Chen <wccsnow at>
License: Mozilla Public License 2.0
NeedsCompilation: yes
Citation: cubfits citation info
Materials: README ChangeLog INSTALL
CRAN checks: cubfits results


Reference manual: cubfits.pdf
Vignettes: cubfits-guide
Package source: cubfits_0.1-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: cubfits_0.1-2.tgz, r-oldrel: cubfits_0.1-0.tgz
OS X Mavericks binaries: r-release: cubfits_0.1-2.tgz
Old sources: cubfits archive