readNumFASTA

readrandFASTA

readNum

readFASTA

random

Sequences

non-ACTG

The (m,n)-mer is a statistical feature calculated from conditional frequency distributions obtained from a FASTA file. The resulting table, along with class information, is used to create the classification feature matrix. For more information on this method and its benchmarking results, refer to Andrade et al.'s upcoming publication titled "(m,n)-mer - A Simple Statistical Feature for Sequence Classification".

Amanda Andrade

mnmer

'(m,n)-mer' - A Simple Statistical Feature for Sequence
Classification

Marco Grivet

Otavio Brustolini

Ana Vasconcelos

readNumFASTA function

<dl><dt>FASTAfile</dt>
<dd>Path to a multifasta file <code>FASTAfile</code></dd>
<dt>size</dt>
<dd>Number of sequences to be loaded <code>size</code></dd>
<dt>rand</dt>
<dd>Sequences choose mode random or not. TRUE or FALSE <code>rand</code></dd>
<dt>pni</dt>
<dd>Cutoff percentage for maximum of non-ACTG bases in the sequences <code>pni</code></dd></dl>

Arguments

readNumFASTA — readNumFASTA

<dl>

<dt>FASTAfile</dt>
<dd>Path to a multifasta file <code>FASTAfile</code></dd>


<dt>size</dt>
<dd>Number of sequences to be loaded <code>size</code></dd>


<dt>rand</dt>
<dd>Sequences choose mode random or not. TRUE or FALSE <code>rand</code></dd>


<dt>pni</dt>
<dd>Cutoff percentage for maximum of non-ACTG bases in the sequences <code>pni</code></dd>

</dl>

readNumFASTA: readNumFASTA

Description

Usage

Value

Arguments

Examples