A database can be used to warehouse quantitative trait loci (QTL) data from multiple sources for comparison, genomic data mining, and meta-analysis. A robust database design involves sound data structure logistics, meaningful data transformations, normalization, and proper user interface designs. This chapter starts with a brief review of relational database basics and concentrates on issues associated with curation of QTL data into a relational database, with emphasis on the principles of data normalization and structure optimization. In addition, some simple examples of QTL data mining and meta-analysis are included. These examples are provided to help readers better understand the potential and importance of sound database design. © 2012 Springer Science+Business Media New York.
CITATION STYLE
Hu, Z. L., Reecy, J. M., & Wu, X. L. (2012). Design database for Quantitative Trait Loci (QTL) data warehouse, data mining, and meta-analysis. Methods in Molecular Biology, 871, 121–144. https://doi.org/10.1007/978-1-61779-785-9_7
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