DNA microarrays: Low-level analysis issues and applications

Topics

• Primary analysis of expression data from Wookies (continued)
• Discussion of study questions
• Combining expression data with data from other sources
• Rebecca Ganetzky presents: Expression Profiling of Neural Cells Reveals Specific Patterns of Ethanol-Responsive Gene Expression
  Thibault Christelle et al (2000)
  Molecular Pharmacology 52:1593-1600 [HTML]
• Peter Likarish presents: The Life and Times of Bill Pearson

• Link: DAVID/EASE: Resources for identifying over-representation of certain functional groups (e.g. Biological pathways) in a set of microarray data
• Link: PubGene: An algorithm for identifying associations between genes based upon a keyword search of the biomedical literature
• Link: Stanford SOURCE: A very convenient starting place for annotating genes derived from lists/clusters of array data. Compiles info from multiple databases.
• Link: TIGR Resourcer: One of many tools available at TIGR. This allows matching of results across different chip types.
• Link: UCSC genome browser: Site for drilling down to genomic data for any sequence.
• Link: UniGene: NCBI based database compiling and expressed transcripts into clusters giving best representation of expressed genes
• Link: WebQTL: a new web-based tool for identifying genetic correlations amongst expression patterns. Also superimposes genetics of expression upon a database of genetic data for various complex traits

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