cubar: a versatile package for codon usage bias analysis in R

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Main Authors: Liu, Mengyue, Zi, Bu, Zhang, Hebin, Zhang, Hong
Format: Recurso digital
Published: Zenodo 2024
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author Liu, Mengyue
Zi, Bu
Zhang, Hebin
Zhang, Hong
author_facet Liu, Mengyue
Zi, Bu
Zhang, Hebin
Zhang, Hong
contents <ul> <li><p><code>est_optimal_codons</code> and <code>get_fop</code> now work on codon frequency matrices like other cubar functions.</p> </li> <li><p>codon optimization can be done at both family(amino acid) or subfamily level now and optimal codons can be estimated for each level using either codon bias or gene expression levels (Thanks @maltesemike for valuable suggestions and feedback). The false discovery rate is controlled by the <code>fdr</code> argument.</p> </li> <li><p>There were two RSCU columns (<code>RSCU</code> and <code>rscu</code>) in the output of <code>est_optimal_codons</code> and <code>get_fop</code>. Now only <code>rscu</code> is kept and represents the RSCU values.</p> </li> <li><p>New functions to perform sliding window analysis on codon usage: <code>slide</code>, <code>slide_codon</code>, <code>slide_apply</code> and <code>slide_plot</code>.</p> </li> <li><p>New function to calculate the deviation from proportionality (Dp) of host tRNA availability: <code>get_dp</code>.</p> </li> </ul>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_13148855
institution Zenodo
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publishDate 2024
publisher Zenodo
record_format zenodo
spellingShingle cubar: a versatile package for codon usage bias analysis in R
Liu, Mengyue
Zi, Bu
Zhang, Hebin
Zhang, Hong
<ul> <li><p><code>est_optimal_codons</code> and <code>get_fop</code> now work on codon frequency matrices like other cubar functions.</p> </li> <li><p>codon optimization can be done at both family(amino acid) or subfamily level now and optimal codons can be estimated for each level using either codon bias or gene expression levels (Thanks @maltesemike for valuable suggestions and feedback). The false discovery rate is controlled by the <code>fdr</code> argument.</p> </li> <li><p>There were two RSCU columns (<code>RSCU</code> and <code>rscu</code>) in the output of <code>est_optimal_codons</code> and <code>get_fop</code>. Now only <code>rscu</code> is kept and represents the RSCU values.</p> </li> <li><p>New functions to perform sliding window analysis on codon usage: <code>slide</code>, <code>slide_codon</code>, <code>slide_apply</code> and <code>slide_plot</code>.</p> </li> <li><p>New function to calculate the deviation from proportionality (Dp) of host tRNA availability: <code>get_dp</code>.</p> </li> </ul>
title cubar: a versatile package for codon usage bias analysis in R
url https://doi.org/10.5281/zenodo.13148855