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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, to the interpretation of large-scale transcriptomic and genomic data, and to the study of disease genetics.
Selected Publications
Roach JC, Glusman G, Smit AFA, Huff CD, Hubley R, Shannon PT, Rowen L, Pant KP, Goodman N, Bamshad M, Shendure J, Drmanac,R, Jorde LB, Hood L, Galas DJ. Analysis of genetic inheritance in a family quartet by whole genome sequencing. 2010. Science, 10.1126/science.1186802.
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, 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.
Relevant links:
http://db.systemsbiology.org/gestalt/
http://www.repeatmasker.org/FEAST
Personal web page:
http://personal.systemsbiology.net/Gustavo/
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