rev_comp

<code>rev_comp</code> generates the reverse complement of input DNA sequences. 
This is commonly used for analyzing complementary strands or anticodon sequences.

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

rev_comp function

<dl><dt>seqs</dt>
<dd>Input DNA sequences as a DNAStringSet object, or a named vector 
of sequences that can be coerced to DNAStringSet.</dd></dl>

Arguments

Generate reverse complement sequences — rev_comp

<dl>

<dt>seqs</dt>
<dd>Input DNA sequences as a DNAStringSet object, or a named vector 
of sequences that can be coerced to DNAStringSet.</dd>

</dl>

rev_comp: Generate reverse complement sequences

Description

Usage

Value

Arguments

Examples