Building an open Genome Wide Association Study (GWAS) platform

Liya Wang; Doreen Ware; Nirav Merchant; Carol Lushbough

doi:10.1109/CLUSTER.2013.6702696

Building an open Genome Wide Association Study (GWAS) platform

Liya Wang, Doreen Ware, Nirav Merchant, Carol Lushbough

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We demonstrated how a flexible Genome Wide Association Study (GWAS) platform was built using the iPlant Collaborative Cyber-infrastructure. The platform is open for end users to add additional analysis tools. With the platform, customized GWAS workflows can be built in both iPlant Discovery Environment and BioExtract server.

Original language	English (US)
Title of host publication	2013 IEEE International Conference on Cluster Computing, CLUSTER 2013
DOIs	https://doi.org/10.1109/CLUSTER.2013.6702696
State	Published - 2013
Event	15th IEEE International Conference on Cluster Computing, CLUSTER 2013 - Indianapolis, IN, United States Duration: Sep 23 2013 → Sep 27 2013

Publication series

Name	Proceedings - IEEE International Conference on Cluster Computing, ICCC
ISSN (Print)	1552-5244

Conference

Conference	15th IEEE International Conference on Cluster Computing, CLUSTER 2013
Country/Territory	United States
City	Indianapolis, IN
Period	9/23/13 → 9/27/13

Keywords

BioExtract server
GWAS
iPlant Data Store
iPlant Discovery Environment
iPlant Foundation API

ASJC Scopus subject areas

Software
Hardware and Architecture
Signal Processing

Access to Document

10.1109/CLUSTER.2013.6702696

Cite this

Wang, L, Ware, D, Merchant, N & Lushbough, C 2013, Building an open Genome Wide Association Study (GWAS) platform. in 2013 IEEE International Conference on Cluster Computing, CLUSTER 2013., 6702696, Proceedings - IEEE International Conference on Cluster Computing, ICCC, 15th IEEE International Conference on Cluster Computing, CLUSTER 2013, Indianapolis, IN, United States, 9/23/13. https://doi.org/10.1109/CLUSTER.2013.6702696

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doi = "10.1109/CLUSTER.2013.6702696",

language = "English (US)",

isbn = "9781479908981",

series = "Proceedings - IEEE International Conference on Cluster Computing, ICCC",

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AB - We demonstrated how a flexible Genome Wide Association Study (GWAS) platform was built using the iPlant Collaborative Cyber-infrastructure. The platform is open for end users to add additional analysis tools. With the platform, customized GWAS workflows can be built in both iPlant Discovery Environment and BioExtract server.

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KW - iPlant Data Store

KW - iPlant Discovery Environment

KW - iPlant Foundation API

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M3 - Conference contribution

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T3 - Proceedings - IEEE International Conference on Cluster Computing, ICCC

BT - 2013 IEEE International Conference on Cluster Computing, CLUSTER 2013

T2 - 15th IEEE International Conference on Cluster Computing, CLUSTER 2013

Y2 - 23 September 2013 through 27 September 2013

ER -

Building an open Genome Wide Association Study (GWAS) platform

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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