ContigCluster1

Data associated with DEMIC paper (on SourceForge)

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

ContigCluster1 function

<div class="section" id="contigcluster-">
<h3><code>ContigCluster1</code></h3>
A data frame with 120,897 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

Contig Cluster 1 — ContigCluster1

<div class='section' id='contigcluster-'>
<h3><code>ContigCluster1</code></h3>


A data frame with 120,897 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>

ContigCluster1: Contig Cluster 1

Description

Usage

Arguments

Format

`ContigCluster1`