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Genelab Data Systems v2.0 Set For Release September 29th

GeneLab Data Systems (GLDS) version 2.0 is scheduled for release September 29th, 2017. This release focuses on integrated Google-like, full-text search and data federation/integration with multiple heterogeneous external bioinformatics databases, such as the National Institutes of Health (NIH) / National Center for Biotechnology Information’s (NCBI) Gene Expression Omnibus (GEO), the European Bioinformatics Institute’s (EBI) PRoteomics IDEntifications (PRIDE), and the Argonne National Laboratory’s (ANL) MetaGenomics Rapid Annotation using Subsystem Technology (MG-RAST).

Other key capabilities released in GLDS v2.0 are the following:

  • Pivot to GenomeSpace software platform for improving system extensibility, performance, scalability, and maintainability
  • Provide initial data visualization, such as GeneLab data sets correlations between Organisms vs. Assay Types
  • GeneLab collaborative workspace environment with security access controls to share data
  • Enables frequently used GL-specific words/terms lookup feature (e.g., auto-corrections for spelling)
  • Viewing and navigating between GL data listing and workspace environment
  • New multiple tabbed user interface views for the detailed GL data sets/studies
  • Integrated with the latest open-sourced, Java-based ISACreator v1.7.10 desktop tool for streamlining data processing and curation operations
  • GLDS admin tool for performing data insertions, updates, archives, and publishing new GLDS accession numbers for streamlining data processing operations
BACKGROUND: The multi-year GeneLab project is both a science collaboration initiative and a data system effort to establish a public bioinformatics repository with key capabilities for biologically-inspired analysis. The mission of GeneLab is to maximize the utilization of the valuable biological research resources aboard the International Space Station (ISS) by collecting genomic, transcriptomic, proteomic, and metabolomics data known as “omics”. These omics data will enable exploration of the molecular network responses of terrestrial biology to the space environment, and will be made available to researchers worldwide. The ultimate goal of GeneLab is to enable space exploration by allowing researchers to understand the complex responses of biological systems to the space environment.

GeneLab data will potentially be useful for the development of countermeasures, monitoring the microbes that colonize the space station, understanding how food plants could be modified to grow better in space, and unraveling the responses of humans and other organisms to the combined effects of altered gravity and space radiation. The Data System is managed by the Intelligent Systems Division (Code TI); while the Science initiative is lead by the Space Biosciences Division (Code SC) at Ames Research Center.

NASA PROGRAM FUNDING: Jointly funded by HQ Space Life and Physical Sciences Division (SLPSD) and the International Space Station (ISS) Program, Human Exploration Operations Missions Directorate (HEOMD)

DATA SYSTEMS TEAM: Sonja Caldwell (ARC-TI/QTS), Jairon Moh Hashim Camarillo (ARC-TI/MORI), Dennis Heher (ARC-TI/ACI), Tristan Le (ARC-TI), Qiang (Shawn) Li (ARC-TI/Logyx), Shu-Chun (Jenessa) Lin (ARC-TI), Sneha Raghunandan (ARC-TI/MORI), Hao Thai (ARC-TI/Logyx), Khai Peter B. Tran (ARC-TI), and Andrew Williamson (ARC-TI/MORI)

DATA PROCESSING TEAM: Dan Berrios (ARC-TI/USRA), Homer Fogle (ARC-SC/Wyle), and Sam Gebre (ARC-SC/Wyle)

SCIENCE & OTHER TEAM MEMBERS: Chris Barreras (ARC-SC/Wyle), John Costa (ARC-SC/Wyle), Sylvain Costes (ARC-SCR), Sandy Dueck (ARC-SC/Wyle), Jonathan Galazka (ARC-SCR), Lynn Hutchison (ARC-CPP/Logical-R), Sigrid Reinsch (ARC-SCR), Mike Skidmore (ARC-PX/Retired), Marla Smithwick (ARC-SC/Wyle), and Olga Stotzky (ARC-PX)

POINT OF CONTACT: Khai Peter B. Tran, peter.b.tran@nasa.gov

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