Open Science at ASGSR 2023
The Open Science Data Repository team will be at ASGSR this year. Come check out our nineteen poster and oral presentations related to GeneLab, Ames Life Sciences Data Archive (ALSDA), NASA Biological Institutional Scientific Collection (NBISC), AI/ML, and student teams at ASGSR on Nov. 16-18, 2023. We've compiled this list to help you find your way amongst the breadth and depth of new insights that Open Science represents this year.
Thursday, November 16 (6:00 - 7:30pm EST) Investigator Poster Session
- Open Science for Plants in Space: Data Sharing, Standards, and Informatics for Reuse and Knowledge Discovery by Christina Johnson
- Not Just Omics: The Space Biology Open Science Data Repository (OSDR) Enables Access to High Quality Space Life Sciences Phenotypic Data from Microbes to Humans by Rachel Gilbert and Xavier-Lewis Palmer
- Elevating the Quality of Space Omics Sequencing Data: Innovations and Methodologies from NASA GeneLab Sample Processing Laboratory by Maha Ulhaq
- Batch effect correction methods for NASA GeneLab transcriptomic datasets by Amanda Saravia-Butler
- Transcriptomics Processing Pipelines for Space Biology: An Open Source and Consensus-Driven Approach by Sam Gebre
- NASA GeneLab Multi-study Visualization Portal by Ana Uriarte Acuna
- Optimizing a Small RNAseq Analysis Pipeline for NASA GeneLab Using Open-Source Tools and Libraries by Richard Barker
- Discovery Through Biospecimen Sharing: NASA Biological Institutional Scientific Collection (NBISC) by Joey Varelas
- NASA Space Microbial Culture Collection by Sam Gebre
- Creating benchmark data for artificial intelligence and machine learning in space biology research by James Casaletto
- Machine learning for the validation of expert-elicited causal risk diagrams by Rob Reynolds
Friday, November 17 (4:00 - 5:30pm EST) Poster Session
- A Machine Learning Model of Perturb-Seq Data for use in Space Flight Multi-Omic Analysis by Liam Johnson
- AI/ML modeling platform for space biology open science data repositories by Brian Evarts
- Histological and Spatial Transcriptomic Sample Preparation from Spaceflight Stressor Exposed Rat Ovaries by Dillon Nishigaya
Friday, November 17 (4:00 - 5:30pm EST) Education 1
- Using space biology omics data to provide bioinformatics training for students and educators by Amanda Saravia-Butler
- Open Science Analysis Working Groups as a Platform for High School Machine Learning Training by Ryan Scott
Saturday, November 18 (11:00am - 12:00pm EST)
- Building Open Science Communities in Space Biology Panel Discussion by OSDR members Sylvain Costes and Lovorka Degoricija and AWG members Paola Castano and Nate Szewczyk
Saturday, November 18 (1:30 - 3:30pm) Concurrent Technical Session
- Biological Research and Space Health Enabled by Machine Learning to Support Deep Space Missions by Ryan Scott
Saturday, November 18 (1:30 - 3:30pm) Enabling Technologies 2
- RadLab and the Environmental Data Application Dashboard: Graphical and Programming Interfaces for Interrogation of Space Telemetry Data by Kirill Grigorev
