Building an open Genome Wide Association Study (GWAS) platform

Liya Wang, Doreen Ware, Nirav C 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 publicationProceedings - IEEE International Conference on Cluster Computing, ICCC
DOIs
Publication statusPublished - 2013
Event15th IEEE International Conference on Cluster Computing, CLUSTER 2013 - Indianapolis, IN, United States
Duration: Sep 23 2013Sep 27 2013

Other

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

    Fingerprint

Keywords

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

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Signal Processing

Cite this

Wang, L., Ware, D., Merchant, N. C., & Lushbough, C. (2013). Building an open Genome Wide Association Study (GWAS) platform. In Proceedings - IEEE International Conference on Cluster Computing, ICCC [6702696] https://doi.org/10.1109/CLUSTER.2013.6702696