Update by ialbert on Tue Jan 30 15:20:17 EST 2018 from yolo.local
</p>
<p>
- We have developed a novel, python-based web application that allows scientists to document, distribute,
- rerun and modify data analysis scripts. We call these analysis scripts <strong>"bioinformatics
- recipes."</strong>
- Recipes are stored in projects where each <b>project</b> is a collection of:
+ This web application allows scientists to document, execute
+ and share data analysis scripts. We call these analysis scripts
+ <strong>"recipes."</strong> All information is organized into projects where each <b>project</b> is a collection of:
<ul>
<li>Data Files</li>
<p>
Our application provides access to scientists that may not be proficient in using command line tools by
- creating an <b>easy-to-use graphical interface</b> for each recipe. Users adapt, modify and remix recipes to match
+ creating an <b>easy-to-use graphical interface</b> for each recipe.
+ </p>
+ <p>Users adapt, modify and remix recipes to match
their needs, then share these on the same site. By supporting these interactions, we foster a collaborative
environment that facilitates creativity, efficiency and reproducibility.
</p>
<p>
Besides storing, sharing and executing data analysis scripts, our software supports public and private
project-based workflows and can provide complete data storage and management solutions as a laboratory
- information management system. The application is designed to serve sequencing facilities and has been
- deployed and tested within the Penn State Bioinformatics Consulting Center
-
-
+ information management system.
+ </p>
+ <p>
+ The application is designed to serve sequencing facilities and has been
+ deployed and tested within the Penn State Bioinformatics Consulting Center.
<p>
Learn more about the way <a href="{% url 'docs' 'info' %}">the site works.</a>
</p>
