Title :
BioExtract Server, a Web-based workflow enabling system, leveraging iPlant collaborative resources
Author :
Lushbough, Caro M. ; Gnimpieba, Etienne ; Dooley, Rion
Author_Institution :
Comput. Sci. Dept., Univ. of South Dakota, Vermillion, SD, USA
Abstract :
In order to handle the vast quantities of biological data generated by high-throughput experimental technologies, the BioExtract Server (bioextract.org) has leveraged iPlant Collaborative (www.iplantcollaborative.org) functionality to help address big data storage and analysis issues in the bioinformatics field. The BioExtract Server is a Web-based, workflow-enabling system that offers researchers a flexible environment for analyzing genomic data. It provides researchers with the ability to save a series of BioExtract Server tasks (e.g. query a data source, save a data extract, and execute an analytic tool) as a workflow and the opportunity for researchers to share their data extracts, analytic tools and workflows with collaborators. The iPlant Collaborative is a community of researchers, educators, and students working to enrich science through the development of cyberinfrastructure - the physical computing resources, collaborative environment, virtual machine resources, and interoperable analysis software and data services - that are essential components of modern biology. The iPlant Agave API (Agave), developed through the iPlant Collaborative, is a hosted, Software-as-a-Service resource providing access to a collection of High Performance Computing (HPC) and Cloud resources [6]. Leveraging Agave, the BioExtract Server gives researchers easy access to multiple high performance computers and delivers computation and storage as dynamically allocated resources via the Internet.
Keywords :
Internet; application program interfaces; bioinformatics; cloud computing; data analysis; genomics; groupware; parallel processing; resource allocation; storage management; workflow management software; BioExtract server; HPC; Internet; Web-based workflow enabling system; analytic tools; bioextract.org; bioinformatics field; biological data; cloud resources; collaborative environment; cyberinfrastructure; data extracts; data services; data storage; experimental technology; genomic data analysis; high performance computing; iPlant Agave API; iPlant collaborative functionality; iPlant collaborative resources; interoperable analysis software; modern biology; physical computing resources; resource allocation; software-as-a-service resource; virtual machine resources; Europe; Registers; Servers; BioExtract Server; Bioinformatic workflows; iPlant Data Store; iPlant Foundation API;
Conference_Titel :
Cluster Computing (CLUSTER), 2013 IEEE International Conference on
Conference_Location :
Indianapolis, IN
DOI :
10.1109/CLUSTER.2013.6702692