CMD + K

r-cubfits

Community

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, et al. (2009) <doi:10.1073/pnas.0812841106>.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-cubfits

Usage Tracking

0.1_3
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

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, et al. (2009) <doi:10.1073/pnas.0812841106>.

Last Updated

Sep 6, 2019 at 11:44

License

Mozilla Public License 2.0

Total Downloads

3

Supported Platforms

linux-64
win-64
macOS-64