title: A case study for cloud based high throughput analysis of NGS data using the globus genomics system.
abstract: Next generation sequencing (NGS) technologies produce massive amounts of data requiring a powerful computational infrastructure, high quality bioinformatics software, and skilled personnel to operate the tools. We present a case study of a practical solution to this data management and analysis challenge that simplifies terabyte scale data handling and provides advanced tools for NGS data analysis. These capabilities are implemented using the "Globus Genomics" system, which is an enhanced Galaxy workflow system made available as a service that offers users the capability to process and transfer data easily, reliably and quickly to address end-to-endNGS analysis requirements. The Globus Genomics system is built on Amazon 's cloud computing infrastructure. The system takes advantage of elastic scaling of compute resources to run multiple workflows in parallel and it also helps meet the scale-out analysis needs of modern translational genomics research.
authors.affiliation: Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC 20007, USA.
authors.forename: Krithika
authors.initials: K
authors.lastname: Bhuvaneshwar
authors.affiliation: Computation Institute, University of Chicago, Argonne National Laboratory, 60637, USA; Globus Genomics, USA.
authors.forename: Dinanath
authors.initials: D
authors.lastname: Sulakhe
authors.affiliation: Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC 20007, USA.
authors.forename: Robinder
authors.initials: R
authors.lastname: Gauba
authors.affiliation: Computation Institute, University of Chicago, Argonne National Laboratory, 60637, USA.
authors.forename: Alex
authors.initials: A
authors.lastname: Rodriguez
authors.affiliation: Computation Institute, University of Chicago, Argonne National Laboratory, 60637, USA; Globus Genomics, USA.
authors.forename: Ravi
authors.initials: R
authors.lastname: Madduri
authors.affiliation: Computation Institute, University of Chicago, Argonne National Laboratory, 60637, USA; Globus Genomics, USA.
authors.forename: Utpal
authors.initials: U
authors.lastname: Dave
authors.affiliation: Computation Institute, University of Chicago, Argonne National Laboratory, 60637, USA; Globus Genomics, USA.
authors.forename: Lukasz
authors.initials: L
authors.lastname: Lacinski
authors.affiliation: Computation Institute, University of Chicago, Argonne National Laboratory, 60637, USA; Globus Genomics, USA.
authors.forename: Ian
authors.initials: I
authors.lastname: Foster
authors.affiliation: Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC 20007, USA.
authors.forename: Yuriy
authors.initials: Y
authors.lastname: Gusev
authors.affiliation: Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC 20007, USA.
authors.forename: Subha
authors.initials: S
authors.lastname: Madhavan
keywords: Cloud computing; Galaxy; Next generation sequencing; Translational research