Beyond protein expression, MOPED goes multi-omics.

Nucleic Acids Res

Bioinformatics and High-Throughput Analysis Laboratory, Center for Developmental Therapeutics, Seattle Children's Research Institute, Seattle, WA, USA 98101 High-Throughput Analysis Core, Seattle Children's Research Institute, Seattle, WA, USA 98101 CDO Analytics, Seattle Children's, Seattle, WA, USA 98101 Data-Enabled Life Sciences Alliance (DELSA Global), Seattle, WA, USA 98101 Departments of Biomedical Informatics and Medical Education and Pediatrics, University of Washington, Seattle, WA, USA 98109 Department of Chemistry and Chemical Biology, College of Science, Northeastern University, Boston, MA 02115

Published: January 2015

MOPED (Multi-Omics Profiling Expression Database; http://moped.proteinspire.org) has transitioned from solely a protein expression database to a multi-omics resource for human and model organisms. Through a web-based interface, MOPED presents consistently processed data for gene, protein and pathway expression. To improve data quality, consistency and use, MOPED includes metadata detailing experimental design and analysis methods. The multi-omics data are integrated through direct links between genes and proteins and further connected to pathways and experiments. MOPED now contains over 5 million records, information for approximately 75,000 genes and 50,000 proteins from four organisms (human, mouse, worm, yeast). These records correspond to 670 unique combinations of experiment, condition, localization and tissue. MOPED includes the following new features: pathway expression, Pathway Details pages, experimental metadata checklists, experiment summary statistics and more advanced searching tools. Advanced searching enables querying for genes, proteins, experiments, pathways and keywords of interest. The system is enhanced with visualizations for comparing across different data types. In the future MOPED will expand the number of organisms, increase integration with pathways and provide connections to disease.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383969PMC
http://dx.doi.org/10.1093/nar/gku1175DOI Listing

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