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Gustavo Glusman
Area of Expertise
Computational Genomics
Current Position
Senior Research Scientist
Degree
Ph.D., Biology, Weizmann Institute, 2001
Research Interests
Using computational approaches, Dr. Glusman investigates genome structure and evolution; multi-gene families; prediction and discovery of genes and transcripts; genes not coding for proteins; visualization of complex data; and image analysis. His algorithms are contributing to the discovery of genes that are not easily identified using standard procedures.
Selected Publications
Glusman G, Qin S, El-Gewely R, Siegel A, Roach J, Hood L, Smit AFA. A third approach to gene prediction suggests thousands of additional human transcribed regions. 2006 PLoS Computational Biology 2(3): e18.
Glusman, G., Rowen, L., Lee, I., Boysen, C., Roach, J.C., Smit,
A.F.A., Wang, K., Koop, B.F. and Hood, L. (2001) Comparative genomics
of the human and mouse T-cell receptor loci. Immunity 15(3): 337-349.
Glusman G, Yanai I, Rubin I, Lancet D. The complete human olfactory subgenome. 2001 Genome Research 11: 685-702.
International Human Genome Sequencing Consortium. Initial sequencing and analysis of the human genome. 2001. Nature 409: 860-921.
Glusman G, Lancet D. GESTALT: a workbench for automatic integration and visualisation of large-scale genomic sequence analyses. 2000. Bioinformatics 16(5): 482-483.
Glusman G, Sosinsky A, Ben-Asher E, Avidan N, Sonkin D, Bahar A, Rosenthal A, Clifton S, Roe B, Ferraz C, Demaille J, Lancet D. Sequence, structure and evolution of a complete human olfactory receptor gene cluster. 2000. Genomics 63(2): 227-245.
Relevant links:
http://db.systemsbiology.org/gestalt/
http://www.repeatmasker.org/FEAST
Personal web page:
http://personal.systemsbiology.net/Gustavo/
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