mapMECFS

mapMECFS integrates molecular datasets relevant to Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) to enable cross-domain data integration and support discovery of diagnostic biomarkers and therapeutic targets.

Key Features:

• Comprehensive Data Integration: Integrates domain-agnostic molecular datasets using the open-source CKAN framework across immunology, metabolomics, genomics, neurology, and gut microbiome studies.
• Advanced Metadata Collection: Employs targeted metadata collection strategies to enhance dataset findability and reusability.
• Smart Search Capabilities: Implements search functions to browse, compare, and download molecular datasets to support cross-study analyses for biomarker and therapeutic-target discovery.
• Collaborative Data Aggregation: Supports coordinated data sharing and aggregation among NIH-funded research centers and the global ME/CFS research community.

Scientific Applications:

• Biomarker Discovery: Enables identification and comparison of potential diagnostic biomarkers across integrated immunology, metabolomics, genomics, neurology, and microbiome datasets.
• Therapeutic Target Identification: Facilitates cross-domain analyses to nominate candidate therapeutic targets for ME/CFS.
• Systems Biology Integration: Supports integrative systems-biology approaches by aggregating heterogeneous molecular datasets for multifactorial disease investigation.

Methodology:

Implemented on the open-source CKAN framework with tailored metadata collection strategies and smart search functionality.