Ziv Bar-Joseph
Affiliated Biological Sciences Faculty
Dr. Bar-Joseph's primary research is in computational and systems biology. Machine learning and statistical algorithms are used to study time series expression experiments and to combine high throughput biological data sources to model biological networks.
Faculty Webpage |
Peter B. Berget
Associate Professor
The Berget laboratory is collaborating with the Robert Murphy laboratory to develop high throughput techniques to analyze the location and dynamics of GFP tagged proteins in CD-tagged mammalian cell populations.
Faculty Webpage |
Justin C. Crowley
Assistant Professor
The Crowley laboratory is interested in understanding the cues responsible for organizing complex patterns of neural circuitry. To this end, the lab is engaged in an exploration of circuit-specific gene expression patterns in the developing visual system.
Faculty Webpage |
Dannie Durand
Associate Professor
The Durand group works in comparative genomics, focusing on the evolution of genome organization and functional diversity in vertebrates.
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Charles A. Ettensohn
Professor
The Ettensohn laboratory is part of a collaboration that recently sequenced and annotated the complete genome of the purple sea urchin, Strongylocentrotus purpuratus. The group is generating and analyzing other genomics-based resources from this and other echinoderm species. This information is being used to study how the program of embryonic development is encoded in the genome.
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Jeffrey O. Hollinger
Professor
The Hollinger group investigates molecular and cellular mechanisms in bone regeneration, with particular emphasis on clinical therapies.
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Jonathan W. Jarvik
Associate Professor
The Jarvik laboratory is developing high throughput methods for trapping genes and observing reporter-tagged gene products in mammalian cells.
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A. Javier López
Associate Professor
The Lopez laboratory is using bioinformatic and experimental approaches to study mechanisms of expression and evolutionary dynamics of large introns and also developing methods for global analysis of splicing intermediates.
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Jonathan S. Minden
Professor
The Minden laboratory is developing new tools for comparative proteomics. One such method is Difference Gel Electrophoresis (DIGE), which is sold by Amersham (GE) Biosciences. Under current development are fluorescent gel imaging hardware and software. In addition, the Minden group has created a new company, Proteopure, to develop a universal protein preparation method for proteomics research.
Faculty Webpage |
Aaron P. Mitchell
Professor
The Mitchell laboratory focuses on gene discovery methods that assign function to the C. albicans genome sequence and identify novel regulatory networks.
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Russell S. Schwartz
Associate Professor
Russell Schwartz has been involved in many projects involving whole-genome analysis and data mining, and in addition to current projects in those areas, he is developing computational methods for simulating biochemistry within the cellular environment.
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Nathan N. Urban
Associate Professor
In the Urban laboratory researchers adopt a systems neuroscience approach to the study of the main and accessory olfactory systems in rodents. This work involves the combination of a variety of physiological, computational and behavioral techniques to answer questions about the representation and processing of odor-evoked activity linked to the generation of olfactory behavior.
Faculty Webpage |
John L. Woolford
Acting Department Head and Professor
The Woolford lab is using state-of-the-art techniques for epitope tagging genes in the yeast genome and purifying multimolecular ribosome assembly complexes containing the tagged gene products. Copurifying proteins are identified by mass spectrometry. Data for populations of proteins in each pre-ribosome are being analyzed by computational methods to build models for the assembly of ribosomes in yeast.
Faculty Webpage |
Eric Xing
Affiliated Biological Sciences Faculty
Eric Xing develops statistical models and machine learning algorithms for biological network inference and characterization, cis-regulatory module decoding, regulatory evolution modeling, quantitative trait locus mapping, genome polymorphism patterning, and population genetic analysis. He is also applying these quantitative approaches to investigate the mechanisms of breast cancer development and metazoan morphagenesis.
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