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Towards bridging the genotype-phenotype gap -- systems level dissection of the impact of variation in DNA sequence and structure on gene expression

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Air date: Friday, May 13, 2011, 12:00:00 PM
Time displayed is Eastern Time, Washington DC Local
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Category: NIH Director's Seminars
Runtime: 01:00:39
Description: Director's Seminar Series

The research in Teresa Przytycka’s group focuses on computational modeling and analysis of properties of biomolecules on sequence, structure, and network levels. She is particularly interested in modeling of dynamical changes in such properties, exploring how variations in sequence, structure, and cellular context impact gene expression, gene function, the topology of the biomolecular network, and the phenotype of the organism. Using systems biology approaches, her group also strives to understand the emergence of complex disease phenotypes, such as cancer, to identify molecular pathways dys-regulated in diseases, and to develop computational methods for detecting causal genetic mutations
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NLM Title: Towards bridging the genotype-phenotype gap : systems level dissection of the impact of variation in DNA sequence and structure on gene expression [electronic resource] / Teresa Przytycka.
Series: Director's seminar series
Author: Przytycka, Teresa.
National Institutes of Health (U.S.)
Publisher:
Other Title(s): Director's seminar series
Abstract: (CIT): Director's Seminar Series The research in Teresa Przytycka's group focuses on computational modeling and analysis of properties of biomolecules on sequence, structure, and network levels. She is particularly interested in modeling of dynamical changes in such properties, exploring how variations in sequence, structure, and cellular context impact gene expression, gene function, the topology of the biomolecular network, and the phenotype of the organism. Using systems biology approaches, her group also strives to understand the emergence of complex disease phenotypes, such as cancer, to identify molecular pathways dys-regulated in diseases, and to develop computational methods for detecting causal genetic mutations.
Subjects: Gene Expression
Genetic Association Studies
Genetic Variation
Systems Biology--methods
Publication Types: Lectures
Webcasts
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Caption Text: Download Caption File
NLM Classification: QU 500
NLM ID: 101565190
CIT Live ID: 10247
Permanent link: http://videocast.nih.gov/launch.asp?16662

 

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