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NASA GeneLab Multi-study Visualization PortalNASA GeneLab has helped advance the field of Space Biology by providing a public repository where researchers can store, share, analyze and visualize the results of space flight related omics experiments. The GeneLab data visualization portal allows any user, regardless of bioinformatics knowledge or access to computational resources, to interact with the experimental data, draw their own conclusions, and gain insights about the effects of space on living systems. These tools help democratize scientific research and foster the NASA Open Science initiative.

The new multi-study feature of the GeneLab visualization platform allows users to mine study metadata from RNA sequencing (RNA-seq) experiments to identify samples of interest by filtering datasets based on organism, tissue, assay technology type, and/or factor. Once samples are selected from multiple datasets, users can combine and normalize the sample data, then utilize the visualization displays, including Principal Component Analysis (PCA) plots, to assess sample distributions. Finally, users can perform differential gene expression analysis on the combined data and visualize the results through PCA plots, Volcano plots, Pair plots, Heatmap, Ideogram and Gene Set Enrichment Analysis. All user-generated results and visualizations will be available for download.

Here, we present a biological study using samples from multiple GeneLab RNA-seq datasets and analyzed using the multi-study visualization platform to demonstrate inter- and intra-study variability, as well as commonly differentially expressed genes between spaceflight and ground control conditions across datasets.

This new feature opens a wide range of possibilities and opportunities for further development including combining other assay technology types and integration with batch effect correction techniques and machine learning applications. Overall, this tool allows users to increase the statistical power of individual experiments, validate hypothesis, identify patterns, and opens the door to new and exciting research.
Document ID
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Ana Eveina Uriarte Acuna
(Wyle (United States) El Segundo, California, United States)
Lauren Marie Sanders
(Blue Marble Space Seattle, Washington, United States)
Jamie Lee Bales
(Wyle (United States) El Segundo, California, United States)
Kirill Grigorev
(Blue Marble Space)
Amanda Marie Saravia-butler
(Wyle (United States) El Segundo, California, United States)
Sylvain V Costes
(Ames Research Center Mountain View, California, United States)
Date Acquired
June 26, 2023
Subject Category
Life Sciences (General)
Space Sciences (General)
Computer Programming and Software
Meeting Information
Meeting: Annual Meeting of the American Society for Gravitational and Space Research (ASGSR)
Location: Washington, DC
Country: US
Start Date: November 14, 2023
End Date: November 18, 2023
Sponsors: American Society for Gravitational and Space Research
Funding Number(s)
WBS: 719125.
Distribution Limits
Public Use Permitted.
Technical Review
NASA Peer Committee
space biology
open science
data visualization

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