seqbias-class


The <code>seqbias</code> class maintains a model of the sequencing bias of from an
experiment, which can be saved, loaded, trained, and used to make predictions of
bias.<p></p><p>The class is manipulated with the following functions:
<code><a rd-options="" href="/link/seqbias.fit?package=seqbias&version=1.20.0" data-mini-rdoc="seqbias::seqbias.fit">seqbias.fit</a></code>
<code><a rd-options="" href="/link/seqbias.load?package=seqbias&version=1.20.0" data-mini-rdoc="seqbias::seqbias.load">seqbias.load</a></code>
<code><a rd-options="" href="/link/seqbias.predict?package=seqbias&version=1.20.0" data-mini-rdoc="seqbias::seqbias.predict">seqbias.predict</a></code>
<code><a rd-options="" href="/link/seqbias.save?package=seqbias&version=1.20.0" data-mini-rdoc="seqbias::seqbias.save">seqbias.save</a></code>
</p>

seqbias

This package implements a model of per-position sequencing
bias in high-throughput sequencing data using a simple Bayesian
network, the structure and parameters of which are trained on a
set of aligned reads and a reference genome sequence.

Daniel Jones

Estimation of per-position bias in high-throughput sequencing
data

seqbias function

The <code>seqbias</code> class maintains a model of the sequencing bias of from an
experiment, which can be saved, loaded, trained, and used to make predictions of
bias.

The class is manipulated with the following functions:
<code><a href="seqbias.fit" rd-options="">seqbias.fit</a></code>
<code><a href="seqbias.load" rd-options="">seqbias.load</a></code>
<code><a href="seqbias.predict" rd-options="">seqbias.predict</a></code>
<code><a href="seqbias.save" rd-options="">seqbias.save</a></code>

seqbias: The seqbias model

Description

Arguments