Building an open Genome Wide Association Study (GWAS) platform

Liya Wang, Doreen Ware, Nirav Merchant, Carol Lushbough

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publication2013 IEEE International Conference on Cluster Computing, CLUSTER 2013
DOIs
StatePublished - Dec 1 2013
Event15th IEEE International Conference on Cluster Computing, CLUSTER 2013 - Indianapolis, IN, United States
Duration: Sep 23 2013Sep 27 2013

Publication series

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

Other

Other15th IEEE International Conference on Cluster Computing, CLUSTER 2013
CountryUnited States
CityIndianapolis, IN
Period9/23/139/27/13

Keywords

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

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Signal Processing

Fingerprint Dive into the research topics of 'Building an open Genome Wide Association Study (GWAS) platform'. Together they form a unique fingerprint.

  • 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). https://doi.org/10.1109/CLUSTER.2013.6702696