The Einstein Genome Gateway using WASP - A high throughput multi-layered life sciences portal for XSEDE

Aaron Golden, Andrew S. McLellan, Robert A. Dubin, Qiang Jing, Pilib Ó Broin, David Moskowitz, Zhengdong Zhang, Masako Suzuki, Joseph Hargitai, R. Brent Calder, John M. Greally

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Massively-parallel sequencing (MPS) technologies and their diverse applications in genomics and epigenomics research have yielded enormous new insights into the physiology and pathophysiology of the human genome. The biggest hurdle remains the magnitude and diversity of the datasets generated, compromising our ability to manage, organize, process and ultimately analyse data. The Wiki-based Automated Sequence Processor (WASP), developed at the Albert Einstein College of Medicine (hereafter Einstein), uniquely manages to tightly couple the sequencing platform, the sequencing assay, sample metadata and the automated workflows deployed on a heterogeneous high performance computing cluster infrastructure that yield sequenced, quality-controlled and 'mapped' sequence data, all within the one operating environment accessible by a web-based GUI interface.WASP at Einstein processes 4-6 TB of data per week and since its production cycle commenced it has processed ∼ 1 PB of data overall and has revolutionized user interactivity with these new genomic technologies, who remain blissfully unaware of the data storage, management and most importantly processing services they request. The abstraction of such computational complexity for the user in effect makes WASP an ideal middleware solution, and an appropriate basis for the development of a grid-enabled resource - the Einstein Genome Gateway - as part of the Extreme Science and Engineering Discovery Environment (XSEDE) program. In this paper we discuss the existing WASP system, its proposed middleware role, and its planned interaction with XSEDE to form the Einstein Genome Gateway.

Original languageEnglish (US)
Title of host publicationHealthGrid Applications and Technologies Meet Science Gateways for Life Sciences
PublisherIOS Press
Pages182-191
Number of pages10
ISBN (Print)9781614990536
DOIs
StatePublished - Jan 1 2012
Event10th HealthGrid Conference and the 4th International Workshop on Science Gateways for Life Sciences, IWSG-Life 2012 - Amsterdam, Netherlands
Duration: May 21 2012May 25 2012

Publication series

NameStudies in Health Technology and Informatics
Volume175
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other10th HealthGrid Conference and the 4th International Workshop on Science Gateways for Life Sciences, IWSG-Life 2012
CountryNetherlands
CityAmsterdam
Period5/21/125/25/12

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Keywords

  • Genomics
  • Grid Computing
  • Integrative Analysis
  • Life Science Gateways
  • Massively Parallel Sequencing
  • XSEDE

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Golden, A., McLellan, A. S., Dubin, R. A., Jing, Q., Broin, P. Ó., Moskowitz, D., Zhang, Z., Suzuki, M., Hargitai, J., Calder, R. B., & Greally, J. M. (2012). The Einstein Genome Gateway using WASP - A high throughput multi-layered life sciences portal for XSEDE. In HealthGrid Applications and Technologies Meet Science Gateways for Life Sciences (pp. 182-191). (Studies in Health Technology and Informatics; Vol. 175). IOS Press. https://doi.org/10.3233/978-1-61499-054-3-182