aa2codon

A data.frame of mapping from amino acids to codons

datasets

A suite of functions for rapid and flexible analysis of codon
usage bias. It provides in-depth analysis at the codon level, including
relative synonymous codon usage (RSCU), tRNA weight calculations, machine
learning predictions for optimal or preferred codons, and visualization of
codon-anticodon pairing. Additionally, it can calculate various gene-
specific codon indices such as codon adaptation index (CAI), effective
number of codons (ENC), fraction of optimal codons (Fop), tRNA adaptation
index (tAI), mean codon stabilization coefficients (CSCg), and GC contents
(GC/GC3s/GC4d). It also supports both standard and non-standard genetic
code tables found in NCBI, as well as custom genetic code tables.

Hong Zhang

cubar

Codon Usage Bias Analysis

aa2codon function

a data.frame with two columns: amino_acid, and codon.<dl>
<dt>amino_acid</dt>
<dd>amino acid corresponding to the codon</dd><dt>codon</dt>
<dd>codon identity</dd>
</dl>

Format

amino acids to codons — aa2codon

a data.frame with two columns: amino_acid, and codon.<dl>
<dt>amino_acid</dt>
<dd>amino acid corresponding to the codon</dd>

<dt>codon</dt>
<dd>codon identity</dd>


</dl>

aa2codon: amino acids to codons

Description

Usage

Arguments

Format

Examples