NCBI’s Ben Busby is the speaker.

Sean


From: GenomeWebinars <[email protected]>
Date: Thursday, September 13, 2018 at 8:31 AM
To: "Davis, Sean (NIH/NCI) [E]" <[email protected]>
Subject: NCBI Tools to Support Reproducible Research in Genomics Workflows










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Date: October 1, 2018
Time: 10:00 am PT / 1:00 pm ET

This webinar will provide an overview of some efforts underway at the National 
Center for Biotechnology Information to help improve scientific reproducibility 
in genomics research.

Scientific reproducibility relies on literature, data, and code. While 
biological literature is becoming more open, and data is becoming more widely 
shared, code written in a biomedical context is often not reproducible.

In many scientific disciplines, the rapidly emerging datasets exceed the 
available resources of traditional software development communities. Fueled by 
this shortage and aided by increasingly powerful scripting languages, domain 
experts often turn to their own devices, which can create difficulties in 
reproducibility because of issues with documentation, ongoing development, and 
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Ben Busby, from the National Center for Biotechnology Information will describe 
efforts NCBI has undertaken to address these issues, including NCBI-facilitated 
hackathon programs (with some teams working on modular, reproducible workflow 
generators), “analyze-athons,” reproducibility workshops, student discovery 
challenges, and the scale-up of data science training worldwide.







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Date: October 1, 2018
Time: 10:00 am PT / 1:00 pm ET
Scheduling conflict? You can still participate! All registrants will receive a 
link to view an on demand recording of the event.
Questions? Contact 
[email protected]<mailto:[email protected]>













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