User profile

Dr. Leonid Zaslavsky

Dr. Leonid Zaslavsky

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Member since: November 02, 2004

At NIH/NCBI, I develop software for clustering, exploratory data analysis and visualization tools for bacterial genomics and proteomics, pan-genome analysis, comparative genomics of bacterial proteomes including pathogens. I also worked on exploratory data analysis and visualization tools used in NCBI Influenza Virus Resource and NCBI Virus Variation Resources.

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.

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