CRAN/E | cubfits

cubfits

Codon Usage Bias Fits

Installation

About

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.

Citation cubfits citation info
github.com/snoweye/cubfits
Bug report File report

Key Metrics

Version 0.1-4
R ≥ 4.0.0
Published 2021-11-07 899 days ago
Needs compilation? yes
License Mozilla Public License 2.0
CRAN checks cubfits results

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Maintainer

Maintainer

Wei-Chen Chen

wccsnow@gmail.com

Authors

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

Material

README
ChangeLog
INSTALL
Reference manual
Package source

Vignettes

cubfits-guide

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

cubfits archive

Depends

R ≥ 4.0.0
methods
coda
foreach
parallel
stats
graphics
utils

Suggests

seqinr
VGAM
EMCluster

Enhances

pbdMPI ≥ 0.3-1