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Senior Research Scientists
  Peter Askovich
  John Boyle
  Greg Carter
  Mi-Youn Brusniak
  Eric Deutsch
  Alan Diercks
  Richard Gelinas
 Gustavo Glusman
  Mark Gilchrist
  Liz Gold
  Nat Goodman
  Richard Johnson
  Andrew Keller
  Kathleen Kennedy
  Christopher Lausted
  Inyoul Lee
  William Longabaugh
  Monica Orellana
  Jacques Peschon
  Shizhen Qin
  Stephen Ramsey
  David Reiss
  Jared Roach
  Lee Rowen
  Ramsey Saleem
  Paul Shannon
  Arian Smit
  Jennifer Smith
  James Spotts
  Vesteinn Thorsson
  Qiang Tian
  Robert West
  Julian Watts
  Daniel Zak
Affiliations
Technology
 Gustavo Glusman
Gustavo Glusman

Susan Lindquest

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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