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Small readme updates #1802

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May 13, 2017
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Small readme updates #1802

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6 changes: 4 additions & 2 deletions README.md
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[![Gitter](https://badges.gitter.im/hail-is/hail.svg)](https://gitter.im/hail-is/hail?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![CI Status](https://ci.hail.is/app/rest/builds/buildType:(id:HailSourceCode_HailCi)/statusIcon)](https://ci.hail.is/viewType.html?buildTypeId=HailSourceCode_HailCi&branch_HailSourceCode_HailMainline=%3Cdefault%3E&tab=buildTypeStatusDiv)

[Hail](https://hail.is) is an open-source, scalable framework for exploring and analyzing genetic data. Starting from sequencing or microarray data in [VCF](https://samtools.github.io/hts-specs/VCFv4.2.pdf) and [other formats](https://hail.is/hail/hail.HailContext.html#hail.HailContext), Hail can, for example:
[Hail](https://hail.is) is an open-source, scalable framework for exploring and analyzing genomic data. Starting from sequencing or microarray data in [VCF](https://samtools.github.io/hts-specs/VCFv4.2.pdf) and [other formats](https://hail.is/hail/hail.HailContext.html#hail.HailContext), Hail can, for example:

- generate variant annotations like call rate, Hardy-Weinberg equilibrium p-value, and population-specific allele count
- generate sample annotations like mean depth, imputed sex, and TiTv ratio
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All this functionality is exposed through **[Python](https://www.python.org/)** and backed by distributed algorithms built on top of **[Apache Spark](http://spark.apache.org/)** to efficiently analyze gigabyte-scale data on a laptop or terabyte-scale data on an on-prem cluster or in the cloud.

Hail is used in [published research](http://biorxiv.org/content/early/2016/06/06/050195) and as the core analysis platform of large-scale genomics efforts including [ExAC v2](http://exac.broadinstitute.org/) and [gnomAD](http://gnomad.broadinstitute.org/). The project began in Fall 2015 and is under very active development as we work toward a stable release, so we do not guarantee forward compatibility of formats and interfaces. Want to get involved in development? Check out the [Github repo](https://github.com/hail-is/hail), chat with us in the [Gitter dev room](https://gitter.im/hail-is/hail-dev), and view our keynote at [Spark Summit East 2017](https://spark-summit.org/east-2017/).
Hail is used in [published research](http://biorxiv.org/content/early/2016/06/06/050195) and as the core analysis platform of large-scale genomics efforts such as [gnomAD](http://gnomad.broadinstitute.org/). The project began in Fall 2015 to [harness the flood of genomic data](https://www.broadinstitute.org/blog/harnessing-flood-scaling-data-science-big-genomics-era) and is under very active development as we work toward a stable release, so we do not guarantee forward compatibility of formats and interfaces.

Want to get involved in development? Check out the [Github repo](https://github.com/hail-is/hail), chat with us in the [Gitter dev room](https://gitter.im/hail-is/hail-dev), view our keynote at [Spark Summit East 2017](https://spark-summit.org/east-2017/events/scaling-genetic-data-analysis-with-apache-spark/), or connect with us June 6-7 at [Spark Summit West 2017](https://spark-summit.org/2017/events/scaling-genetic-data-analysis-with-apache-spark/).

#### Getting Started

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