e0d0dd65f53bb547c201ae1aa2bf0fa6dbbafe09
max
  Thu Jun 3 08:25:17 2021 -0700
changes after code review, refs #27648

diff --git src/hg/htdocs/goldenPath/help/gbic.html src/hg/htdocs/goldenPath/help/gbic.html
index 071a3f8..1247e08 100755
--- src/hg/htdocs/goldenPath/help/gbic.html
+++ src/hg/htdocs/goldenPath/help/gbic.html
@@ -40,35 +40,35 @@
 update the Genome Browser CGIs, and remove temporary files (aka “trash cleaning”).
 </p>
 
 <p>
 The GBiC program has been tested with Ubuntu 14/16/18/20 LTS, Centos 6/6.7/7.2/8, and Fedora 20.
 </p>
 
 <p>It has been tested on virtual machines in Amazon EC2 (Centos 6 and Ubuntu 14) and Microsoft
 Azure (Ubuntu).</p>
 
 <p>If you want to load data on the fly from UCSC, you need to select the
 data centers &ldquo;US West (N. California)&rdquo; (Amazon) or &ldquo;West US&rdquo; (Microsoft) for best performance.
 Other data centers (e.g. East Coast) will require a local copy of the genome assembly, which
 requires 2TB-7TB of storage for the hg19 assembly. Note that if you mirror multiple assemblies, 
 this may in rare cases exceed 16TB, the
-current maximum size of a single Amazon EBS volume. In these cases, may need to
+current maximum size of a single Amazon EBS volume. In these cases, you may need to
 use RAID striping of multiple EBS volumes, or use Amazon EFS for the /gbdb files
 and Amazon Aurora for the MySQL tables. We have had one report from a user that the 
 MySQL performance is better when served from Aurora instead of being served
-from the same EC2 instance. However, the total cost may be slightly higher in
+from the same EC2 instance; the cost may be higher in
 Aurora, depending on the type of usage.</p>
 
 <a name='quick-start-instructions'></a>
 <h2>Quick Start Instructions</h2>
 
 <p>
 Download the GBiC program from the <a href='https://genome-store.ucsc.edu/' title=''>UCSC Genome Browser store</a>.
 </p>
 
 <p>
 Run the program as root, like this:
 </p>
 
 <pre><code>sudo bash browserSetup.sh install</code></pre>