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Victor Markowitz

Victor Markowitz

Victor M. Markowitz, D.Sc.
Group Leader, IMG Data Management & Analysis Systems, DOE Joint Genome Institute

Education

Computer Engineering, Bucharest Polytechnic Institute, Romania;
M.Sc., Computer Science, Technion, Israel;
D.Sc., Computer Science, Technion, Israel.

Summary

Dr. Markowitz assumed the position of CIO of the DOE Joint Genome Institute in 2010 after six years as head of the Biological Data Management and Technology Center (BDMTC) at Lawrence Berkeley National Laboratory. Dr. Markowitz joined the Lawrence Berkeley National Lab in 1987 where he led the development of data management and integration tools that were used for developing several public and commercial genome databases. In 1997 he joined Gene Logic Inc. as CIO and Senior Vice President, Data Management Systems, responsible for the development and deployment of Gene Logic’s data management products and software tools, including Genesis, one of the largest commercial gene expression data management systems deployed at tens of pharmaceutical and biotech companies worldwide. In 2004, Dr. Markowitz returned to LBNL’s Computational Research Division to head the BDMTC, where he oversaw the development of the DOE joint Genome Institute’s Integrated Microbial Genomes (IMG) family of systems used by a large community of scientists worldwide for conduction microbial genome and metagenome studies. Markowitz has conducted research in various data management and database areas, and has authored over fifty articles and book chapters on various aspects of databases and scientific data management.

Publications

  1. Markowitz VM et al. IMG ER: A System for Microbial Genome Annotation Expert Review and Curation, Bioinformatics. 2009; 25(17): 2271-2278.
  2. Mavromatis K et al. Gene Context Analysis in the Integrated Microbial Genomes (IMG) Data Management System, PLoS ONE. 2009; 4(11): e7979.
  3. Sharon I et al. 2009. ”A Statistical Framework for the Functional Analysis of Metagenomes.” Lecture Notes in Computer Science. 2009; 5541: 570-585.
  4. Dalevi D et al. Annotation of metagenome short reads using proxygenes. Accepted for publication. Bioinformatics. 2008;24 (18): i7-i13.

Markowitz VM et al. An Experimental Metagenome Data Management and Analysis System. Bioinformatics. 2006;22(14): 359-367.