AnaCoDa is an open-source software implemented in R (R Core Team, 2015) that allows researchers to analyze genome-scale data like coding sequences and ribosome ...
Jul 15, 2018 · AnaCoDa is an R package for estimating biologically relevant parameters of mixture models, such as selection against translation inefficiency, non-sense errors ...
Mar 7, 2018 · Abstract. Summary: AnaCoDa is an R package for estimating biologically relevant parameters of mixture models, such as selection against ...
AnaCoDa: Analyzing Codon Data with Bayesian mixture models
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AnaCoDa is an R package for estimating biologically relevant parameters of mixture models, such as selection against translation inefficiency, ...
Abstract Summary AnaCoDa is an R package for estimating biologically relevant parameters of mixture models, such as selection against translation ...
AnaCoDa is an R package for estimating biologically relevant parameters of mixture models, such as selection against translation inefficiency, ...
Provides visualization routines and checkpointing for model fittings. Currently published models to analyze gene data for selection on codon usage based on ...
AnaCoDa allows for the estimation of biologically relevant parameters like mutation bias or ribosome pausing time, depending on the model employed. Bayesian ...
AnaCoDa: analyzing codon data with Bayesian mixture models. Categrey:Phylogenomics data analysis. Usages; Authors & Address; Name Entity. Landerer, Cedric1,2 ...
The AnaCoDa framework works with gene specific data such as codon frequencies or position specific footprint counts.