Update docs/source/how_cat-vrs-works.rst

Co-authored-by: Brendan Reardon <[email protected]>

Author: DanielPuthawala

docs/source/how_cat-vrs-works.rst

@@ -23,7 +23,7 @@ Likewise, assayed variants come in a variety of representations, and are difficu
 The figure below shows how variant matching via Cat-VRS effectuates knowledge integration.  On the left is an assayed variant from a patient, and two knowledgebase entries, each with associated genomic knowledge, which are siloed.  However, by representing them with Cat-VRS, each are converted into categorical variant representations under a single common representation specification.  As a result, the Cat-VRS representations become easily comparable with each other, and both assayed-to-categorical and categorical-to-categorical variant matching becomes possible under a common framework. By extension, the knowledge of each respective knowledgebase entry can be integrated as part of knowledgebase curation, or applied to the assayed variant of interest in clinical pipelines.
 
 
-.. image:: images/Cat-VRS use_function figures - Figure 1.png
+.. image:: images/cat-vrs-use-figure-1.png
     :width: 80%
     :align: center
     :alt: The figure depicts an assayed variant from a patient, and two separate knowledgebase entries, each with associated genomic knowledge.  Due to differing representation formats, these variants and associated knowledge are all siloed.  However, by representing them with Cat-VRS, each are converted into categorical variant representations under a single common representation specification.  As a result, the Cat-VRS representations become easily comparable with each other, and both assayed-to-categorical and categorical-to-categorical variant matching becomes possible under a common framework. By extension, the knowledge of each respective knowledgebase entry can be integrated as part of knowledgebase curation, or applied to the assayed variant of interest in clinical pipelines.