Research - Statistical Genomics and Bioinformatics

The current research interests are on bioinformatics, statistical genomics, biopathway analysis and gene regulatory network. Specifically, he works in novel computational methodologies for molecular biology and genetics, e.g., temporal gene expression analysis and biological information extraction from high throughput gene expression data.

Teaching

• BIOM 603 - Applied Regression Analysis
• Statistical Genomics and Bioinformatics

Publications

Representative Publications

• Song, J., Jaime Bjarnason and Mike Surette. 2005. The Identification of Functional
Motifs with Longitudinal Mixed Model and False Discovery Rate (FDR) in Temporal Gene Expression Analysis. Evolution Bioinformatics(Accepted).
• Song, J., Tony Ware, Shu-lin, Liu M. Surette 2004 Comparative genomics for closely-related strains by Wavelet Analysis in Bacteria. EURASP Applied Signal Processing (Genome issue), 2004:1, 5-12.
• Song, J., Tony Ware, Shu-lin, Liu, Surette M. 2003 Identification and Test of Origin Site and Terminus Site of Replication by Nonparameters Method. METMBS 2003 17-21 CSREA Press.
• Song, J., Antony Ware and Shu-Lin Liu 2003, Wavelet to predict bacterial ori and ter:a tendency towards a physical balance. BMC Genomics 2003 4:17.
• Song, J., D. L. Koller, T. Foroud, K. Carr, J. Zhao, J. Rice, J. I.Nurnberger Jr., H.Begleiter, B. Porjesz, T. L. Smith, M. A. Schuckit, H. J. Edenberg (2003) Association of GABAA receptors and alcohol dependence and the effects of genetic imprinting. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 117B, 39-45

Grants