Bioinformatic analysis using Jetstream, a cloud computing environment

dc.contributor.authorPapudeshi, Bhavya
dc.contributor.authorSanders, Sheri
dc.contributor.authorGanote, Carrie
dc.contributor.authorFischer, Jeremy
dc.contributor.authorDoak, Tom
dc.date.accessioned2018-02-05T21:49:39Z
dc.date.available2018-02-05T21:49:39Z
dc.date.issued2018-01-15
dc.description.abstractNational Center for Genome Analysis Support (NCGAS) assists researchers in addressing the scientific challenges of understanding and analyzing the wealth of gene sequence information now available. This includes on-boarding biology professionals who lack the necessary computational background to run their analyses on high-performance computing systems. Virtual machines help with the transition to command line use, software installation, and running analysis in the Linux environment (as most high-performance computing clusters). Jetstream (https://jetstream-cloud.org/) is a cloud computing resource that provides access to preconfigured virtual machines, making the transition relatively effortless, flattening the learning curve needed to get results from experiments that otherwise produce an untenable amount of data. Currently, over 14% of all allocations of usage on Jetstream are for biology other than protein folding – the majority of this being some sort of genomic analysis. NCGAS currently hosts over 123 genome analysis and bioinformatics software titles on Jetstream as preconfigured virtual machines. In this digital tool and resources workshop, we will demonstrate on how to set up Jetstream accounts, start a preconfigured virtual machine, and run genomic analysis on this virtual machine (https://ncgas.org/Blog_Posts/Getting%20Started%20on%20Jetstream.php). Jetstream also provides environments for prototyping and publishing tailored workflows that gives researchers access to interactive computing and data analysis resources on demand.en
dc.description.sponsorshipThis research is based upon work supported by the National Science Foundation under grant No. ABI-1458641 to Indiana University.en
dc.identifier.citationPapudeshi, B, S. Sanders, C. Ganote, J. Fischer, and T. Doak. (2018). Bioinformatic analysis using Jetstream, a cloud computing environment (Poster). Plant and Animal Genomics 2018, San Diego, CA. Retrieved from http://hdl.handle.net/2022/21900en
dc.identifier.urihttps://hdl.handle.net/2022/21900
dc.language.isoenen
dc.publisherPlant and Animal Genomics 2018en
dc.rightsExcept where otherwise noted, the contents of this presentation are copyright of the Trustees of Indiana University. This license includes the following terms: You are free to share -to copy, distribute and transmit the work and to remix -to adapt the work under the following conditions: attribution -you must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). For any reuse or distribution, you must make clear to others the license terms of this work.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectNCGAS, Jetstreamen
dc.titleBioinformatic analysis using Jetstream, a cloud computing environmenten
dc.typePresentationen

Files

Original bundle

Now showing 1 - 2 of 2
No Thumbnail Available
Name:
PAG-JS 15 min demo-011318-final.pptx
Size:
7.59 MB
Format:
Microsoft Powerpoint XML
Description:
Presentation (PPT)
No Thumbnail Available
Name:
PAG-JS poster 010818-final.pptx
Size:
3.52 MB
Format:
Microsoft Powerpoint XML
Description:
Poster version (PPT)

Collections

If you need an accessible version of this item, please email your request to iusw@iu.edu so that they may create one and provide it to you.