identifyNoise,stringCoverageList-method

<code>identifyNoise</code> takes an stringCoverageList-object and identifies the noise based on a signal threshold for every marker in the provided list.

Loading, identifying, aggregating, manipulating, and analysing short tandem repeat regions of massively parallel sequencing data in forensic genetics. The analyses and framework implemented in this package relies on the papers of Vilsen et al. (2017) <doi:10.1016/j.fsigen.2017.01.017> and Vilsen et al. (2018) <doi:10.1016/j.fsigen.2018.04.003>. Note: that the parallelisation in the package relies on mclapply() and, thus, speed-ups will only be seen on UNIX based systems.

Sc3<b8>ren Vilsen

STRMPS

Analysis of Short Tandem Repeat (STR) Massively Parallel
Sequencing (MPS) Data

identifyNoise,stringCoverageList-method function

<dl><dt>stringCoverageListObject</dt>
<dd>an stringCoverageList-object, created using the stringCoverage-function.</dd>
<dt>colBelief</dt>
<dd>the name of the coloumn used for identification.</dd>
<dt>thresholdSignal</dt>
<dd>threshold applied to the signal (generally the coverage) of every string.</dd></dl>

Arguments

Idenfities the noise. — identifyNoise,stringCoverageList-method

<dl>

<dt>stringCoverageListObject</dt>
<dd>an stringCoverageList-object, created using the stringCoverage-function.</dd>


<dt>colBelief</dt>
<dd>the name of the coloumn used for identification.</dd>


<dt>thresholdSignal</dt>
<dd>threshold applied to the signal (generally the coverage) of every string.</dd>

</dl>

identifyNoise,stringCoverageList-method: Idenfities the noise.

Description

Usage

Value

Arguments

Examples