max_bin_002

Generated by PyCov3 on simulated test data

datasets

Multi-sample algorithm based on contigs and coverage values, to
infer the relative distances of contigs from the replication origin and to
accurately compare bacterial growth rates between samples. Yuan Gao and
Hongzhe Li (2018) <doi:10.1038/s41592-018-0182-0>.

Charlie Bushman

demic

Dynamic Estimator of Microbial Communities

Yuan Gao

max_bin_002 function

<div class="section" id="max-bin-">
<h3><code>max_bin_002</code></h3>
A data frame with 148,638 rows and 5 columns:<dl>
<dt>log_cov</dt>
<dd>Log Coverage for Sliding Windows over Contigs</dd><dt>GC_content</dt>
<dd>GC Content for Sliding Windows over Contigs</dd><dt>sample</dt>
<dd>Sample Name</dd><dt>contig</dt>
<dd>Contig Name</dd><dt>length</dt>
<dd>Length of Contig</dd>
</dl></div>

Format

MaxBin2 Cluster 002 — max_bin_002

<div class='section' id='max-bin-'>
<h3><code>max_bin_002</code></h3>


A data frame with 148,638 rows and 5 columns:<dl>
<dt>log_cov</dt>
<dd>Log Coverage for Sliding Windows over Contigs</dd>

<dt>GC_content</dt>
<dd>GC Content for Sliding Windows over Contigs</dd>

<dt>sample</dt>
<dd>Sample Name</dd>

<dt>contig</dt>
<dd>Contig Name</dd>

<dt>length</dt>
<dd>Length of Contig</dd>


</dl>

</div>

max_bin_002: MaxBin2 Cluster 002

Description

Usage

Arguments

Format

`max_bin_002`