We would like to invite you to attend the 8th webinar in BioExcel’s webinar series on computational methods and applications for biomolecular research, which will take place on 16th November 2016:

Webinar: Large-scale analytical workflows on the cloud using Galaxy and Globus


Presenter: Ravi Madduri
When: Wed 16th November 2016 16:00 CET (2016-11-16 15:00 UTC)
Registration: Free - https://attendee.gotowebinar.com/register/5808939110698431491


BioExcel webinars include an audience Q&A session during which attendees can ask questions and make suggestions. They are a great opportunity to interact with the main code developers.

This is the first webinar from the BioExcel Workflows Interest Group, welcoming users (and potential users) of Scientific Workflow systems for data analysis and pipe-lining of biomolecular simulation and modelling tools; in particular using GalaxyApache Taverna, KNIME, COMPSs and Common Workflow Language.

This interest group covers pros and cons of these workflow system, practical workflow design and setup, also covers deployment questions on HPC/cloud infrastructure, like the use of Docker for packaging command line codes.

In this BioExcel webinar we are delighted to have Ravi Madduri from Argonne National Laboratory and University of Chicago present Globus Genomics, a system developed for rapid analysis of large quantities of next-generation sequencing (NGS) genomic data, combining Galaxy workflows with cloud technologies like Amazon EC2 and Globus File Transfer.

Ravi will also present the technologies used to achieve large-scale analytical Galaxy workflows on the cloud. We think this will be of interest not just for the genomics community, but for any scientific workflow users who need to consider distributed deployments, data management and scalability; and so we hope you would like to attend this webinar.


Register for webinar

Title: Large-scale analytical workflows on the cloud using Galaxy and Globus
Date: Wed 16th November 2016 (2016-11-16)
Time: 16:00 CET

Please register at https://attendee.gotowebinar.com/register/5808939110698431491. You will then receive an email with details of how you can connect to the webinar.