psapply

plapply

Depending on whether SetParallel has been called, execute in parallel or not.

Nucleotide conversion sequencing experiments have been
developed to add a temporal dimension to RNA-seq and single-cell RNA-seq. Such
experiments require specialized tools for primary processing such as GRAND-SLAM,
(see 'Jürges et al' <doi:10.1093/bioinformatics/bty256>) and specialized tools for
downstream analyses. 'grandR' provides a comprehensive toolbox for quality control,
kinetic modeling, differential gene expression analysis and visualization of such data.

Florian Erhard

grandR

Comprehensive Analysis of Nucleotide Conversion Sequencing Data

Teresa Rummel

Lygeri Sakellaridi

Kevin Berg

psapply function

<dl><dt>...</dt>
<dd>forwarded to lapply or parallel::mclapply</dd>
<dt>seed</dt>
<dd>Seed for the random number generator</dd>
<dt>enforce</dt>
<dd>if TRUE, do it parallelized no matter what IsParallel() says, if FALSE do it non-parallelized no matter what IsParallel() says</dd></dl>

Arguments

Parallel (s/l)apply — psapply

<dl>

<dt>...</dt>
<dd>forwarded to lapply or parallel::mclapply</dd>


<dt>seed</dt>
<dd>Seed for the random number generator</dd>


<dt>enforce</dt>
<dd>if TRUE, do it parallelized no matter what IsParallel() says, if FALSE do it non-parallelized no matter what IsParallel() says</dd>

</dl>

psapply: Parallel (s/l)apply

Description

Usage

Value

Arguments

Details