b120644088d912f130ada387e34067b40616edc0
mspeir
  Mon Jul 27 08:19:30 2026 -0700
minor fixes based on CR, refs #37874

diff --git docs/browserSlideDecks.md docs/browserSlideDecks.md
index b06031c4b94..a30d166f323 100644
--- docs/browserSlideDecks.md
+++ docs/browserSlideDecks.md
@@ -17,31 +17,31 @@
 Basic features and navigation of the
 [main genome browser display](/cgi-bin/hgTracks): configuring tracks and display
 modes, reading the gene model, browsing the track groups, viewing and extracting
 DNA, querying the Table Browser, aligning sequences with BLAT, and loading your
 own data as custom tracks, track hubs, and sessions.
 
 **[▶ Open the deck](/docs/slideDecks/tutorial1-basics/presentation/)**
  ·  [Contents](/docs/slideDecks/tutorial1-basics/tableOfContents/)
 
 <br>
 <iframe src="/docs/slideDecks/tutorial1-basics/presentation/" width="720" height="450" style="max-width:100%;border:1px solid #ccc;border-radius:6px;" frameborder="0" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true" title="Deck 1: UCSC Genome Browser Basics"></iframe>
 
 ## Deck 2: Cancer Data in the Genome Browser
 
 An overview of the cancer and clinical databases hosted by the Genome Browser,
-organized by **somatic** and **germline** diagnosis CIViC, COSMIC, ClinVar, and TCGA
+organized by **somatic** and **germline** diagnosis: CIViC, COSMIC, ClinVar, and TCGA
 Pan-Cancer for somatic variants, and GenCC, OMIM, and gnomAD for germline
 questions. These databases are explored with a consistent <em>BRAF</em> V600E example throughout.
 
 **[&#9654; Open the deck](/docs/slideDecks/tutorial2-cancer/presentation/)**
 &nbsp;·&nbsp; [Contents](/docs/slideDecks/tutorial2-cancer/tableOfContents/)
 
 <br>
 <iframe src="/docs/slideDecks/tutorial2-cancer/presentation/" width="720" height="450" style="max-width:100%;border:1px solid #ccc;border-radius:6px;" frameborder="0" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true" title="Deck 2: Cancer Data in the Genome Browser"></iframe>
 
 ## Deck 3: Clinical Examples & Variant Interpretation
 
 How to interpret a variant end to end: the **Recommended Track Sets**, the
 regulatory and epigenetic context that non-coding variants need, worked germline
 (<em>BRCA2</em>) and somatic (<em>BRAF</em> V600E) examples, expression, and AI
 predictors such as AlphaMissense and SpliceAI.