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Identification of Aberrant Pathway and Network Activity from High-Throughput Data |
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This workshop will introduce analysis and data integration tools
for the discovery of activity within cellular pathways and
networks. Recent discoveries in metabolic diseases and cancer
have demonstrated that pathways play a crucial role in
determining phenotype, with different genes within a key
pathway showing aberrant behavior in patients with otherwise
identical “macro”-phenotype. Speakers will discuss their
successful approaches, and a panel discussion will follow to
address issues raised by PSB attendees. |
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Session Topics |
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Development and maintenance of complex databases
to house genetic, epigenetic, genomic, and functional
genomic data. |
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Development of tools suitable for analyzing data arising
from complex biology. |
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Model-based analysis for high-throughput data. |
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Modeling of networks from high-throughput data. |
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New analysis tools capable of handling complex data integration. |
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Workshop |
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The workshop will address specific issues in identification of
pathways from knowledge-bases (e.g, KEGG, BioCarta),
the refinement of pathways to specific contexts based on
literature, the identification and retrieval of appropriate data,
and the integration of this data in a model-based manner.
It will include discussion of available knowledge-bases,
database structures for data maintenance, and analysis tools
in R suitable for data integration and analysis. |
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Confirmed Speakers |
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David Haussler
UC Santa Cruz |
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Josh Stuart
UC Santa Cruz |
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Ernest Fraenkel
MIT |
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Paul Spellman
Lawrence Berkeley Laboratory |
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