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Download Meeting the Challenges in Post-Genomic Research Prof. Peter Ghazal
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Meeting the Challenges in Post-Genomic Research Prof. Peter Ghazal Pre-Genomic • Reductionist (DNA or RNA or Protein) • Observational/ phenomenological • Generally qualitative and non-numeric • Hypothesis driven Organism Cellular Molecular Post-Genomic • Global/ holistic • Systems approach (DNA and RNA and Protein) • Quantitative and highly numeric • Not only hypothesis driven but also data driven Molecular Cellular Organism Post-Genomic Technologies at Edinburgh Microarrays, Database and Informatics Molecular and Cellular Imaging Technologies Materials and Microanalysis centre COSMIC Microelectronics High Performance Parallel Computing Combinatorial Chemistry & EMMAC SMC EPIC epcc Mass Spectrometry SIRCAMS Grid Technologies Informatics CMG Medical Genetics CGR Transgenic Transgenic Technologies Roslin Stem Cell Research 16probe probe pairs representing 1 gene 3,200 features representing 100 genes 400,000 pairs representing 12,000 genes Bioinformatics challenges in Post-Genomics • Standardisation • Image analysis • Data visualisation • Machine learning • Data curation • Modelling • Data annotation • Simulation • Data mining and integration • Knowledge representation • Statistical design and analysis
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