This master's thesis discusses the development of a DNA relational database and experiments manipulating data. The author proposes a data model where the database is constructed from genome DNA and information tags that can be directly manipulated through chemical reactions. This allows similar data to be abstracted in parallel by taking advantage of how single-stranded DNA associates with complementary and similar strands. The relational data model is preferable for genome analysis requiring set operations on data with attributes. The author executes relational algebra experiments on the DNA database and develops a scheme to convert SQL queries to experimental operations. Computer analysis and chemical experiments on the resulting sequences successfully demonstrate data retrieval from the DNA relational database.