We have established and implemented novel curation processes for acquiring, processing, and integrating clinically relevant information. These curation processes employ both manual and computational methods to iteratively review data sources and compile findings under a rigorous quality management system.
Using a database founded on manual curation instead of computational prediction tools and raw public data reduces the risk of misclassifying rare or novel variants. Constructing such a database is not feasible for individual research or clinical laboratories. By investing the time and resources into the QIAGEN Knowledge Base, we have made it possible for you to significantly reduce the time needed to interpret genomic variants and other data without compromising quality.
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