Skip to content

Commit

Permalink
add some content
Browse files Browse the repository at this point in the history
  • Loading branch information
henrydavidge committed Oct 11, 2019
1 parent e76b92c commit 78e6761
Show file tree
Hide file tree
Showing 14 changed files with 41 additions and 12 deletions.
2 changes: 2 additions & 0 deletions .gitignore
Original file line number Diff line number Diff line change
Expand Up @@ -2,3 +2,5 @@ _site/
.sass-cache/
.jekyll-cache/
.jekyll-metadata
*.swo
*.swp
5 changes: 4 additions & 1 deletion _config.yml
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,10 @@ title: Glow
email: [email protected]
author: Glow
description: > # "Write an awesome description for your new site here.
Project Glow is genomics on Apache Spark made simple.
Glow is an open-source toolkit that makes it easy to aggregate genomic data together with rapid algorithms for data
preparation, statistical analysis, and machine learning at biobank-scale. The toolkit is natively built on Apache SparkTM,
the leading unified engine for big data processing and machine learning, enabling the scale of the cloud for tertiary
genomics workflows.
copyright: 'Copyright © 2019 Project Glow. All Rights Reserved.'
credits: 'Credits: Landing Page is a free to use, open source Bootstrap theme created by <a href="http://startbootstrap.com/">Start Bootstrap</a>.'

Expand Down
7 changes: 5 additions & 2 deletions _includes/about.html
Original file line number Diff line number Diff line change
Expand Up @@ -6,8 +6,11 @@
<h2>About Glow</h2>
<br/>
<p>
Glow is a library for scalable, fast, and extensible genomic analysis built on
Apache Spark.
Glow is an open-source toolkit for working with genomic data at biobank-scale and beyond. The
toolkit is natively built on Apache Spark,
the leading unified engine for big data processing and machine learning, enabling
the scale of the cloud for tertiary genomics workflows.
</p>
<br/>
</div>
</div>
Expand Down
2 changes: 1 addition & 1 deletion _includes/header.html
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
<div class="row">
<div class="col-lg-12">
<div class="intro-message">
<h1>{{ page.title }}</h1>
<img src="img/glow-logo-dark-bg.png" height="200px" />
<h3>{{ page.subTitle }}</h3>
<hr class="intro-divider">
<ul class="list-inline intro-social-buttons">
Expand Down
6 changes: 4 additions & 2 deletions _posts/2014-09-21-services-1.markdown
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,9 @@
layout: default
img: ipad.png
category: Services
title: It's Fast
title: Built to scale
description: |
---
Yup
Glow makes genomic data work with Spark SQL, the leading engine for working with large structured
datasets. It fits natively into the ecosystem of tools that have enabled thousands of
organizations to scale their workflows to petabytes of data.
8 changes: 6 additions & 2 deletions _posts/2014-09-22-services-2.markdown
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,11 @@
layout: default
img: dog.png
category: Services
title: It's Scalable
title: Flexible
description: |
---
Yup
Glow works with datasets in common file formats like VCF or BGEN as well as common big data
standards. You can write queries using the native Spark SQL APIs in Python, SQL, R, Java, and Scala.
The same APIs allow you to bring your genomic data together with other datasets like electronic
health records, real world evidence, and medical images. Glow makes it easy to parallelize existing
tools and libraries implemented as command line tools or Pandas functions.
11 changes: 9 additions & 2 deletions _posts/2014-09-23-services-3.markdown
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,14 @@
layout: default
img: phones.png
category: Services
title: It Glows
title: Easy to get started
description: |
---
Yup
If you've used Spark before, you don't need to learn any new APIs to get started with Glow. The
toolkit includes the building blocks that you need to perform the most common analyses right away:
- Datasources for loading VCF and BGEN files into Spark DataFrames
- Functions for performing quality control and data manipulation
- Variant normalization and lift over
- Regression functions
- Integration with Spark ML libraries for population stratification
- Utilities for piping DataFrames through command line tools
8 changes: 8 additions & 0 deletions _posts/2019-10-10-services-4.markdown
Original file line number Diff line number Diff line change
@@ -0,0 +1,8 @@
---
layout: default
img: ipad.png
category: Services
title: Contributors
description: |
---
![Regeneron](img/regeneron.png) ![Databricks](img/databricks.png)
4 changes: 2 additions & 2 deletions css/landing-page.css
Original file line number Diff line number Diff line change
Expand Up @@ -112,7 +112,7 @@ h6 {
.banner {
padding: 100px 0;
color: #f8f8f8;
background: url(../img/banner-bg.jpg) no-repeat center center;
background: url(../img/intro-bg.jpg) no-repeat center center;
background-size: cover;
}

Expand Down Expand Up @@ -163,4 +163,4 @@ footer {

p.copyright {
margin: 15px 0 0;
}
}
Binary file removed img/banner-bg.jpg
Binary file not shown.
Binary file added img/databricks.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Binary file added img/glow-logo-dark-bg.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Binary file modified img/intro-bg.jpg
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Binary file added img/regeneron.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.

0 comments on commit 78e6761

Please sign in to comment.