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---
layout: default
---
<div class="header-container jumbotron">
<div class="container">
<h1>Portable Encapsulated Projects</h1>
<p>A modern structure and open toolkit for organizing large-scale, sample-intensive biological research projects.
</p>
<p><a class="btn btn-primary btn-lg" href="{{ "/docs/home/" | prepend: site.baseurl }}" role="button">Learn more</a></p>
</div>
</div>
<div class="container">
<div class="row">
<div class="col-md-6">
<h2 class="header-light regular-pad">What is a PEP?</h2>
<blockquote>
<p>A <i>PEP</i>, or <i>Portable Encapsulated Project</i>, is a dataset that subscribes to the PEP structure for organizing metadata. It is written using a simple <b>yaml + tsv</b> format that can be read by tools in the pep toolkit, including universal R and Python packages. pepkit is your one-stop solution to <b>metadata management</b> across data analysis environments.</p>
</blockquote>
</div>
<div class="col-md-6 text-center">
<img src="img/pep_center.svg" alt="" class="img-responsive">
</div>
</div>
<hr>
<div class="row">
<div class="col-sm-6">
<h1 class="text-center"><i class="fa fa-bar-chart" aria-hidden="true"></i></h1>
<h3 class="text-center">Data analysts</h3>
<p>Start by describing your project metadata in PEP format, and immediately benefit from metadata organization tools written in either R or Python.</p>
</div>
<div class="col-sm-6">
<h1 class="text-center"><i class="fa fa-wrench" aria-hidden="true"></i></h1>
<h3 class="text-center">Software developers</h3>
<p>Outsource sample metadata formatting and parsing by using our R or Python APIs, making your tool immediately applicable to any PEP-compliant project.</p>
</div>
</div>
</div>