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Dimitris Anastassiou

Professor

Phone: 212-854-3113
Fax: 201-567-0799
Email: anastas@ee.columbia.edu
Background
Dimitris Anastassiou is Professor and Director of Columbia University's Genomic Information Systems Laboratory, and a member of Columbia's Center for Computational Biology and Bioinformatics. His research is focused on computational biology with emphasis on systems-based analysis of genomic data.
Professor Anastassiou joined the E.E. faculty in 1983. From 1979 until 1983 he was a Research Staff member at the IBM Thomas J. Watson Research Center, Yorktown Heights, NY. He is an IEEE Fellow, the recipient of an IBM Outstanding Innovation Award, a National Science Foundation Presidential Young Investigator Award, and a Columbia University Great Teacher Award. His previous research was in the area of video technology. He is author of patents accepted as essential for the implementation of the international standards MPEG-2 and AVC/H.264 used in DVDs and digital television broadcasting.
Education
Selected Recent Publications
- J. Watkinson and D. Anastassiou, "Synergy Disequilibrium Plots: graphical visualization of pairwise synergies and redundancies of SNPs with respect to a phenotype" Bioinformatics, Vol. 25, No. 11, pp. 1445-1446, June 2009.
- J. Watkinson, K.C. Liang, X. Wang, T. Zheng and D. Anastassiou, "Inference of regulatory gene interactions from expression data using three-way mutual information" Annals of the New York Academy of Sciences, invited paper as best performer in the DREAM2 "Genome Scale" network inference challenge, Vol. 1158, pp. 302-313, March 2009.
- K.C. Liang, X. Wang and D. Anastassiou, "A sequential Monte Carlo Method for Motif Discovery," IEEE Transactions on Signal Processing, Vol. 56, No. 9, September 2008, pp. 4496-4507.
- J. Watkinson, X. Wang, T. Zheng and D. Anastassiou, "Identification of gene interactions associated with disease from gene expression data using synergy networks," BMC Systems Biology, Vol. 2, Issue 10, February 2008. [Highly accessed]
- K.C. Liang, X. Wang and D. Anastassiou, "A Profile-Based Deterministic Sequential Monte Carlo Algorithm for Motif Discovery," Bioinformatics, Vol. 24, Issue 1, January 2008, pp. 46-55.
- K.C. Liang, X. Wang and D. Anastassiou, "Bayesian basecalling for DNA sequence analysis using hidden Markov models," ACM/IEEE Transactions on Computational Biology and Bioinformatics, Vol. 4, No. 3, July-September 2007, pp. 430-440.
- D. Anastassiou, "Computational Analysis of the Synergy Among Multiple Interacting Genes" (Review Article), Molecular Systems Biology, Vol. 3, No. 83, February 2007.
- V. Varadan, D. Miller III and D. Anastassiou, "Computational Inference of the Molecular Logic for Synaptic Connectivity in C. elegans," Bioinformatics, Vol. 22, Issue 14 – ISMB 2006, pp. e497-e506, July 2006.
- V. Varadan and D. Anastassiou, "Inference of Disease-Related Molecular Logic from Systems-Based Microarray Analysis," PLoS Computational Biology, Vol. 2, Issue 6, June 2006, pp. 585-597.
- D. Anastassiou, H. Liu and V. Varadan, "Variable Window Binding for Mutually Exclusive Alternative Splicing," Genome Biology, Vol. 7, Issue 1, pp. R2.1-R2.12, January 2006. [Highly accessed]
- G. Cavelier and D. Anastassiou, "Phenotype Analysis Using Network Motifs Derived from Changes in Regulatory Network Dynamics," Proteins, Vol. 60, Issue 3, pp. 525-546, 2005.
- X. Wang, D. Anastassiou and D. Guo, "Statistical Inference of Transcriptional Regulatory Networks," in Genomic Signal Processing and Statistics, E. Dougherty et al. (Ed.), Hindawi Pub., New York, 2005.
- D. Sussillo, A. Kundaje and D. Anastassiou, "Spectrogram Analysis of Genomes (see below)," EURASIP Journal on Applied Signal Processing, special issue on Genomic Signal Processing, Vol. 2004, No. 1, Jan. 2004, pp. 29-42.
- G. Cavelier and D. Anastassiou, "Data-Based Model and Parameter Evaluation in Dynamic Transcriptional Regulatory Networks," Proteins, Vol. 55, Issue 2, pp. 339-350, 2004.
More Publications
Some publications from a previous lifetime.
SpectroFish
Download SpectroFish, a software tool producing spectrograms for visualizing periodicity and relative nucleotide content in DNA.
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