new_EZbakRArrowData

<code>new_EZbakRArrowData</code> efficiently creates an object of class <code>EZbakRArrowData</code>.
It does not perform any rigorous checks of the legitimacy of this object.

A complete rewrite and reimagining of 'bakR' (see 'Vock et al.' (2025) <doi:10.1371/journal.pcbi.1013179>).
Designed to support a wide array of analyses of nucleotide recoding RNA-seq (NR-seq) datasets of any
type, including TimeLapse-seq/SLAM-seq/TUC-seq, Start-TimeLapse-seq (STL-seq),
TT-TimeLapse-seq (TT-TL-seq), and subcellular NR-seq. 'EZbakR' extends
standard NR-seq standard NR-seq mutational modeling to support multi-label analyses
(e.g., 4sU and 6sG dual labeling), and implements an improved hierarchical model to better
account for transcript-to-transcript variance in metabolic label incorporation.
'EZbakR' also generalized dynamical systems modeling of NR-seq data to support analyses
of premature mRNA processing and flow between subcellular compartments. Finally,
'EZbakR' implements flexible and well-powered comparative analyses of all
estimated parameters via design matrix-specified generalized linear modeling.

Isaac Vock

EZbakR

Analyze and Integrate Any Type of Nucleotide Recoding RNA-Seq
Data

new_EZbakRArrowData function

<dl><dt>cBds</dt>
<dd>Arrow dataset tracking the sample ID, mutational and nucleotide content,
and feature assignment of sequencing reads.</dd>
<dt>metadf</dt>
<dd>Data frame tracking features of each of the samples included
in <code>cBds</code>.</dd></dl>

Arguments

EZbakRArrowData object constructor for internal use — new_EZbakRArrowData

<dl>

<dt>cBds</dt>
<dd>Arrow dataset tracking the sample ID, mutational and nucleotide content,
and feature assignment of sequencing reads.</dd>


<dt>metadf</dt>
<dd>Data frame tracking features of each of the samples included
in <code>cBds</code>.</dd>

</dl>

new_EZbakRArrowData: `EZbakRArrowData` object constructor for internal use

Description

Usage

Arguments