GL4U: Bioinformatics training for students and educators using space omics dataNASA’s GeneLab project provides researchers open access to space-relevant experiment multi-omics data that can be mined to understand the effects of spaceflight on biological systems. To maximize the number of scientists who understand and utilize GeneLab data and data processing pipelines, GeneLab has created GeneLab for Colleges and Universities (GL4U). GL4U provides space biology-relevant training in bioinformatics to the next generation of scientists through direct and indirect approaches. The GeneLab team plans to host two annual data processing bootcamps, one for college-level students (direct) and one for college educators (indirect – training of trainers), in which participants learn to analyze GeneLab’s space-relevant omics data. The GL4U direct training pilot program was conducted in June 2021. During the pilot, students participated in a week-long bootcamp consisting of space biology-specific lectures and hands-on instruction using Jupyter Notebooks to analyze RNA sequence data. This pilot demonstrated the capacity of GL4U for training young scientists and encouraging data re-use. During the educator pilot, scheduled for June 2022, educators will receive materials and training to enable them to run the bootcamp at their home institutions or alternatively to adapt the content to implement within existing courses, thereby extending the reach of this initiative.
Document ID
20220006527
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Amanda Marie Saravia-butler (Wyle (United States) El Segundo, California, United States)
Lauren Marie Sanders (Blue Marble Space Seattle, Washington, United States)
Sigrid Reinsch (Ames Research Center Mountain View, California, United States)
Steven Boring (San Jose State University San Jose, California, United States)
Sabahat Hussain (Universities Space Research Association Columbia, Maryland, United States)
Samrawit Getachew Gebre (Ames Research Center Mountain View, California, United States)
Arman Seuylemezian (Jet Propulsion Lab La Cañada Flintridge, California, United States)
Lisa Guan (Jet Propulsion Lab La Cañada Flintridge, California, United States)
Alvin Lawrence Smith (Jet Propulsion Lab La Cañada Flintridge, California, United States)
Parag Avinash Vaishampayan (Ames Research Center Mountain View, California, United States)
Philip Heller (San Jose State University San Jose, California, United States)
Sylvain V Costes (Ames Research Center Mountain View, California, United States)
Date Acquired
April 27, 2022
Subject Category
Life Sciences (General)
Meeting Information
Meeting: Intelligent Systems for Molecular Biology (ISMB) 2022 Conference
Location: Madison, Wisconsin
Country: US
Start Date: July 10, 2022
End Date: July 14, 2022
Sponsors: International Society for Computational Biology