Current address:

National Center for Biotechnology Information
National Institutes of Health
Bethesda, Maryland
United States

Education:

Ph.D. in computational modeling
Russian Academy of Sciences
1989 - 1993

Postdoctoral Researcher
Howard Hughes Medical Institute, NYU
1996 - 1997

Postdoctoral Researcher
The Weizmann Institute of Science
1993 - 1996

Experience:

Staff Scientist National Center for Biotechnology Information, National Institutes of Health

Skills:

Algorithms

Parallel Computing

C++

SQL

Perl, JavaScript

Activities:

ACM Senior Member Award, 2011

Sir Charles Chlore Postdoctoral Fellowship, 1993-1996

Interests:

Protein clustering

Parallel algorithms

Bacterial genomics - algorithms

Genomics of Viruses - algorithms

Visualization of bioinformatics data

References:

Zaslavsky, L. et al. Bacterial pan-genomes: data representation and analysis. ACM BCB 2013, Washington, DC, September 22-25, 2013

Zaslavsky, L. et al. A framework for pan-genome analysis and visualization. VIZBI 2012, Heidelberg, Germany, March 5-8, 2012

Zaslavsky, L. et al. Visualization of large influenza virus sequence datasets using adaptively aggregated trees with sampling-based subscale representation. BMC Bioinformatics 2008, 9:237.

Resch, W. et al. Virus variation resources at the National Center for Biotechnology Information: dengue virus. BMC Microbiol. 2009; 9: 65.

Bao, Y. et al. The Influenza Virus Resource at the National Center for Biotechnology Information, J. Virol., Vol. 82, Issue 2, 596-601, 2008

Other:

Multiresolution Representations of Biological Sequence Datasets.Phylogenetics: New data, new Phylogenetic challenges. Isaac Newton Institute for Mathematical Sciences, June 20-24, 2011

Zaslavsky, L. et al. An Adaptive Resolution Visualization of Large Influenza Virus Sequence Datasets. Lecture Notes in Computer Science, 4463, Springer, 2007. pp. 192-202.

Zaslavsky, L. et al. Tatusova, Tatiana. Mining the NCBI Influenza Sequence Database: adaptive grouping of BLAST results using precalculated neighbor indexing. PLoS Currents Influenza. 2009 Nov 2:RRN1124.

Zaslavsky, L. et al. Accelerating the Neighbor-Joining Algorithm Using the Adaptive Bucket Data Structure. Lecture Notes in Computer Science, 4983, Springer, 2008. pp. 122-133.

Zaslavsky, L et al. Multiresolution approaches to representation and visualization of large influenza virus sequence datasets. Proc. of IEEE Inernational Conference on Bioinformatics and Biomedicine Workshops, 2007. BIBM 2007. IEEE, 2007, pp. 109-114.