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A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
Mihai Pop1, Teresa K Attwood2, Judith A Blake3
1Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, United States.
Errors in public biological databases waste resources and hinder research. Improving data engineering education, studying error propagation, and funding database maintenance are crucial for reliable scientific data.
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