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STATegra EMS: an Experiment Management System for complex next-generation omics experiments.

Rafael Hernández-de-Diego, Noemi Boix-Chova, David Gómez-Cabrero

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    |July 18, 2014
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    Summary

    High-throughput sequencing experiments generate large datasets requiring robust management. The STATegra Experiment Management System (EMS) offers standardized annotation, storage, and tracking for omics data, simplifying complex research workflows.

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    Area of Science:

    • Genomics
    • Bioinformatics
    • Computational Biology

    Background:

    • High-throughput sequencing assays are crucial for studying genome organization.
    • Increasing use of sequencing assays generates numerous samples, necessitating standardized data management.
    • Existing systems may lack comprehensive support for diverse omics data types and preprocessing steps.

    Purpose of the Study:

    • To develop a freely-available, integrated system for managing high-throughput omics data.
    • To provide standardized annotation, storage, and tracking for experimental design and analysis pipelines.
    • To support various sequencing-based assays (RNA-seq, ChIP-seq, Methyl-seq) and other omics data (proteomics, metabolomics).

    Main Methods:

    • Development of the STATegra Experiment Management System (EMS).
    • Implementation of metadata annotation for experimental design, samples, and processing pipelines.
    • Integration of storage solutions for diverse omics data files, from raw to processed.

    Main Results:

    • The STATegra EMS supports multiple high-throughput omics data types.
    • The system enables comprehensive metadata annotation and data file storage.
    • It offers a user-friendly interface for experiment annotation and analysis tracking.

    Conclusions:

    • The STATegra EMS provides a valuable, integrated solution for research laboratories managing high-throughput omics data.
    • Standardized annotation and storage streamline experimental workflows and data analysis.
    • The system facilitates efficient tracking of analysis procedures for complex sequencing projects.