Senior Research Scientist, Computational Biology, Baliga Lab
Institute for Systems Biology
1441 N 34th St., Seattle, WA 98103 (USA)
Area of Expertise
Computational Systems Biology
Degree
Ph.D., Astronomy, University of Washington, 1999
Research Interests
Dr. Reiss's research activities include statistical modeling of transcript and protein level data, detection and analysis of DNA and protein sequence motifs, and integration of disparate biological data types for the gathering of system-wide insights. He has integrated models of protein-protein interaction data with the detection of protein sequence motifs, microarray data and different types of interaction networks (protein-protein, protein-DNA, metabolic, etc.) with the detection of DNA sequence motifs, and protein- and mRNA expression levels. His studies currently focus on the systems biology of Halobacterium NRC-1, and is directed toward modeling its global gene regulatory network.
Publications:
Biology and astronomy publications; or all publications according to Google
For a little more about me, visit my ISB profile, or my public site.
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PhD Thesis: "The Rate of Supernovae in the Nearby and Distant Universe" (1999) [1.3MB PDF]
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Published computational biology software:
- Netmotsa - Network-oriented Gibbs sampler for motif detection
- Hepatitis-C project - Identifying pathways putatively active in disease infection
- cMonkey - Biclustering of mRNA expression data, constrained by biological priors (interaction networks, DNA sequence motifs, etc.)
- Inferelator - Inference of gene regulatory networks (in conjunction with cMonkey)
- MeDiChI - Model-based deconvolution of genome wide DNA binding (ChIP-chip) data