{% extends "base.html" %} {% import "bootstrap/wtf.html" as wtf %} {% import "bootstrap/fixes.html" as fixes %} {% import "bootstrap/utils.html" as util %} {% block title %}Enriched Pathways{% endblock %}xz {% block styles %} {{ super() }} {% endblock %} {% block scripts %} {{ super() }} {% include "dependencies/datatables.html" %} {% endblock %} {% block content %}

First, select your pathways of interest and click in the type of analysis to perform. The "Venn Diagram" button displays the overlap between the selected pathways represented as Venn Diagrams, "Dendrogram" clusters the pathways and present a dendrogram where users can further investigate the pathway groups, and finally, the "Network View" button represents the neighborhood of most similar pathways to the selection.


{% for resource_name, pathway_dict in query_results.items() %}

{{ resource_name|upper }}

{% for pathway_id, enriched_pathway in pathway_dict.items() %} {% endfor %}
Pathway Name Resource Identifier Adjusted p-value Genes Mapped Pathway Size
{{ enriched_pathway["pathway_name"] }} {% if resource_name == "reactome" %} {{ enriched_pathway["pathway_id"] }} {% elif resource_name == "kegg" %} {{ enriched_pathway["pathway_id"] }} {% elif resource_name == "wikipathways" %} {{ enriched_pathway["pathway_id"] }} {% elif resource_name == "msig" %} {{ enriched_pathway["pathway_id"] }} {% else %} {{ enriched_pathway["pathway_id"] }} {% endif %} {{ enriched_pathway["q_value"] }} {{ enriched_pathway["mapped_proteins"] }} {{ enriched_pathway["pathway_size"] }}
{% endfor %}
{% include "footer.html" %} {% endblock %}