X-Git-Url: https://git.arvados.org/arvados.git/blobdiff_plain/dc32d1900e2070d43f0321b1a7df420ff3f601be..a41c0f6aa41b658c8f2947c46cb90778894f5cf3:/doc/start/index.html.textile.liquid

diff --git a/doc/start/index.html.textile.liquid b/doc/start/index.html.textile.liquid
index ddd856aa88..cddfb8e441 100644
--- a/doc/start/index.html.textile.liquid
+++ b/doc/start/index.html.textile.liquid
@@ -3,6 +3,11 @@ layout: default
 navsection: start 
 title: Welcome to Arvados!
 ...
+{% comment %}
+Copyright (C) The Arvados Authors. All rights reserved.
+
+SPDX-License-Identifier: CC-BY-SA-3.0
+{% endcomment %}
 
 This guide provides an introduction to using Arvados to solve big data bioinformatics problems.
 
@@ -14,11 +19,11 @@ We address the needs of IT directors, lab principals, and bioinformaticians.
 
 h2. Why use Arvados?
 
-Arvados enables you to quickly begin using cloud computing resources in your bioinformatics work. It allows you to track and your methods and datasets, share them securely, and easily re-run analyses.
+Arvados enables you to quickly begin using cloud computing resources in your bioinformatics work. It allows you to track your methods and datasets, share them securely, and easily re-run analyses.
 
 h3. Take a look (Screenshots gallery) 
 
-<div id="carousel-keyfeatures" class="carousel slide">
+<div id="carousel-keyfeatures" class="carousel slide" data-interval="false">
   <!-- Indicators -->
   <ol class="carousel-indicators">
     <li data-target="#carousel-keyfeatures" data-slide-to="0" class="active"></li>
@@ -35,9 +40,9 @@ h3. Take a look (Screenshots gallery)
   <!-- Wrapper for slides -->
   <div class="carousel-inner" role="listbox">
     <div class="item active">
-      <img src="{{ site.baseurl }}/images/keyfeatures/dashboard2.png" alt="[START] After logging in, you see Workbench's dashboard.">
+      <img src="{{ site.baseurl }}/images/keyfeatures/dashboard2.png" alt="[START] After logging in, you will see Workbench's dashboard.">
       <div class="carousel-caption">
-        [START] After logging in, you see Workbench's dashboard.
+        [START] After logging in, you will see Workbench's dashboard.
       </div>
     </div>
 
@@ -56,37 +61,37 @@ h3. Take a look (Screenshots gallery)
     </div>
 
     <div class="item">
-      <img src="{{ site.baseurl }}/images/keyfeatures/graph.png" alt="Pipelines can be also viewed in auto-generated graph form.">
+      <img src="{{ site.baseurl }}/images/keyfeatures/graph.png" alt="Pipelines can also be viewed in auto-generated graph form.">
       <div class="carousel-caption">
-        Pipelines can be also viewed in auto-generated graph form.
+        Pipelines can also be viewed in auto-generated graph form.
       </div>
     </div>
 
     <div class="item">
-      <img src="{{ site.baseurl }}/images/keyfeatures/rerun.png" alt="Pipelines can easily be re-run...">
+      <img src="{{ site.baseurl }}/images/keyfeatures/rerun.png" alt="Pipelines can easily be re-run exactly as before, or...">
       <div class="carousel-caption">
-        Pipelines can easily be re-run...
+        Pipelines can easily be re-run exactly as before, or...
       </div>
     </div>
 
     <div class="item">
-      <img src="{{ site.baseurl }}/images/keyfeatures/chooseinputs.png" alt="...by changing parameters or picking new datasets...">
+      <img src="{{ site.baseurl }}/images/keyfeatures/chooseinputs.png" alt="...you can change parameters or pick new datasets.">
       <div class="carousel-caption">
-        ...by changing parameters or picking new datasets...
+        ...you can change parameters or pick new datasets.
       </div>
     </div>
 
     <div class="item">
-      <img src="{{ site.baseurl }}/images/keyfeatures/webupload.png" alt="...which can be uploaded right in Workbench.">
+      <img src="{{ site.baseurl }}/images/keyfeatures/webupload.png" alt="With web upload, data can be uploaded right in Workbench.">
       <div class="carousel-caption">
-        ...which can be uploaded right in Workbench.
+        With web upload, data can be uploaded right in Workbench.
       </div>
     </div>
 
     <div class="item">
-      <img src="{{ site.baseurl }}/images/keyfeatures/collectionpage.png" alt="Collections allow sharing datasets and job outputs easily.">
+      <img src="{{ site.baseurl }}/images/keyfeatures/collectionpage.png" alt="Collections allow sharing datasets and job outputs easily. 'Create sharing link' with one click.">
       <div class="carousel-caption">
-        Collections allow sharing datasets and job outputs easily.
+        Collections allow sharing datasets and job outputs easily. 'Create sharing link' with one click.
       </div>
     </div>
 
@@ -111,17 +116,18 @@ h3. Take a look (Screenshots gallery)
   </a>
 </div>
 
+Note: Workbench is the web interface to Arvados.
 Tip: You may need to make your browser window bigger to see full-size images in the gallery above.
 
 h3. Key Features
 
 <ul>
 <li><strong>Track your methods</strong><br/>
-We log every compute job: software versions, machine images, input and output data hashes. Rely on a computer, not your memory and your note-taking skills.</li>
+We log every compute job: software versions, machine images, input and output data hashes. Rely on a computer, not your memory and your note-taking skills.<br/><br/></li>
 <li><strong>Share your methods</strong><br/>
-Show other people what you did. Let them use your workflow on their own data. Publish a permalink to your methods and data, so others can reproduce and build on them easily.</li>
+Show other people what you did. Let them use your workflow on their own data. Publish a permalink to your methods and data, so others can reproduce and build on them easily.<br/><br/></li>
 <li><strong>Track data origin</strong><br/>
-Did you really only use fully consented public data in this analysis?</li>
+Did you really only use fully consented public data in this analysis?<br/><br/></li>
 <li><strong>Get results sooner</strong><br/>
-Run your compute jobs faster by using multi-nodes and multi-cores, even if your programs are single-threaded.</li>
+Run your compute jobs faster by using multi-nodes and multi-cores, even if your programs are single-threaded.<br/><br/></li>
 </ul>