The Biochemical Signal Processing Laboratory (BCSPL) seeks to solve problems in high-throughput genomics and engineer better solutions for biochemical applications. The lab's primary thrust is to enhance the use of high-throughput DNA sequencing technologies with pattern recognition and signal processing techniques. Applications include assessing the organism content of an environmental sample, recognizing/classifying potential and functional genes, and inferring microbial evolutionary relationships from short-read fragments. The lab also investigates higher-level biological systems such as modeling and controlling chemotaxis, the movement of cells, through optical and magnetic techniques. Also, the lab has interests in chemical location and tracking through circuit implementations of biological models.

Contact Personnel:

• Gail Rosen 

Links:

• Biochemical Signal Processing Laboratory

Selected Research Posters:

• Image Processing for Artistically Inclined High School Students
• Comparison of a Naive Bayes Classification to BLAST for Identification of Sequence Leads
• Feature Selection for Genome Classifications