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proost · Dec 5, 2017 · 24f602d · 24f602d
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diff --git a/docs/tutorials/005_coexpression_networks_clusters.md b/docs/tutorials/005_coexpression_networks_clusters.md
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 # Tutorial: Coexpression Networks and Clusters
 
-## Navigating Coexpression Networks
+## Coexpression intro
+
+Genes which display a similar expression profile across many samples are considered co-expressed. As co-expression is
+often attributed to a shared regulatory mechanism, co-expressed genes are likely to be involved in the same biological
+process. 
+
+![Coexpression example](images/coexpression_example.png "Coexpression Example") 
+
+In the example two profiles of co-expressed genes are show, the strength of their co-expression is indicated by the 
+[Pearson Correlation Coefficient](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient) (PCC) which is 
+determined taking all samples into account (not just the ones included inthe profile)
+
+
+## Navigating Coexpression Neighborhoods
+
+A gene's coexpressed genes (referred to as the coexpression neighborhood) can be found on the sequence page.  
+
+![Coexpression entry(images/coexpression_entry.png "Coexpression Entry")
+
+ The table icon ![table icon](images/table_icon.png "table icon") can be used to access a table with details on all 
+ coexpressed genes. The network icon ![network icon](images/network_icon.png "network icon") lead to a network graph
+ visualized using [Cytoscape.js](http://js.cytoscape.org/) of the gene and its coexpression neighborhood.
+
+
 
 ## Coexpression Clusters 
diff --git a/docs/tutorials/images/coexpression_entry.png b/docs/tutorials/images/coexpression_entry.png
diff --git a/docs/tutorials/images/coexpression_example.png b/docs/tutorials/images/coexpression_example.png