<p>VariantSpark: applying Spark-based machine learning methods to genomic information</p>

Denis Bauer

doi:10.7490/f1000research.1112483.1

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Bauer D. VariantSpark: applying Spark-based machine learning methods to genomic information [version 1; not peer reviewed]. F1000Research 2016, 5:1583 (slides) (https://doi.org/10.7490/f1000research.1112483.1)

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VariantSpark: applying Spark-based machine learning methods to genomic information

Denis Bauer¹

Published 05 Jul 2016 (https://doi.org/10.7490/f1000research.1112483.1)

Author Affiliations

¹ CSIRO, Australia

Copyright © 2016 Bauer D. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 05 Jul 2016

VariantSpark: applying Spark-based machine learning methods to genomic information
[version 1; not peer reviewed]

Denis Bauer¹

Author Affiliations

¹ CSIRO, Australia

Presented at

2016 Winter School in Mathematical & Computational Biology

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Spark, machine learning, whole genome analysis

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