{% extends "base.html" %} {% import "bootstrap/wtf.html" as wtf %} {% import "bootstrap/fixes.html" as fixes %} {% import "bootstrap/utils.html" as util %} {% block title %}{{ resource|upper }} Gene Promiscuity{% endblock %} {% block styles %} {{ super() }} {% endblock %} {% block scripts %} {{ super() }} {% include "dependencies/common.html" %} {% include "dependencies/datatables.html" %} {% endblock %} {% block content %}
Explore the distribution of the all the genes in databases across pathways. The aim of this plot is just to show the more promiscuous genes in pathway databases, in order to inspect and find the name of the outliers, please use the table in the section below. Based on the distributions of KEGG, Reactome, and WikiPathways, we decided to show only the distribution of genes functionally annotated from zero to fifty pathways (x axis ranges from [0,50]). The reason for this is that there are a few genes acting in 100 pathways or more and disrupt that distort the plot. In order to pintpoint the most promiscuous genes, please the sorting functionality of the table below.
Explore the size in detail using DataTable.
Gene Symbol | Number of Pathways |
---|---|
{{ gene }} | {{ pathways_associated }} |