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

Kori MVP

Co-authored-by: Kori Kuzma <[email protected]>

Author: DanielPuthawala

docs/source/how_cat-vrs-works.rst

@@ -26,7 +26,7 @@ The figure below shows how variant matching via Cat-VRS effectuates knowledge in
 .. image:: images/Cat-VRS use_function figures - 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 assocaited 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.
+    :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.
 
 .. Matching by Constraints