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Published byThomasine Hoover Modified over 9 years ago
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Gq Cardiomyopathy
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Recovery from Cardiomyopathy
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Conclusions 1 Looking at functional groups of genes is often MUCH more informative than single genes Free, software tools help make sense of DNA-microarray data and share information
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GenMAPP for displaying any type of genomic data RNAi, plasmids, antibodies… Example: Gene trapping at BayGenomics
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>7100 Cell Lines Frozen Down >2200 Different Genes Inactivated BayGenomics http://baygenomics.ucsf.edu
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Distribution of BayGenomics ES Cells >550 ES cell lines to investigators throughout the world.
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Is gene trapping a random event? No sign of saturation, but initial analysis suggests patterns
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Is gene trapping a random event? No sign of saturation, but initial analysis suggests patterns No clear relationship with expression levels
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Is gene trapping a random event? No Sign of saturation, but initial analysis suggests patterns No clear relationship with expression levels Potential relationship with specific functional groups of genes
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Is there a functional relationship between the genes that are being trapped? Merge gene trap data with functional biological groups of genes from www.GeneOntology.org
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Advantages of GenMAPP 1. Allows users to construct custom pathways 2. Allows users to analyze private data
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Advantages of GenMAPP 1. Allows users to construct custom pathways 2. Allows users to analyze private data 3. GenMAPP is robust and easy to install
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Advantages of GenMAPP 1. Allows users to construct custom pathways 2. Allows users to analyze private data 3. GenMAPP is robust and easy to install 4. Free to all users 5. Open source code
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Advantages of GenMAPP 1. Allows users to construct custom pathways 2. Allows users to analyze private data 3. GenMAPP is robust and easy to install 4. Free to all users 5. Open source code Caveats, 1.GenMAPP is limited to data display (no modeling, not a pathway database, we need data exchange) 2. Windows-specific for now 2. Client-server version several months away
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Nathan Salomonis Kam Dahlquist Karen Vranizan Scott Doniger Pathway-oriented analysis of DNA microarray data with GenMAPP Steve Lawlor
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