CAMDA 2008

• Keynote, ‘Towards cracking the code of transcription and chromatin regulation’,
  Eran Segal, Weizmann Institute, Israel.
  
• ‘Analysis of comparative genomic hybridization and SNP arrays for the detection of chromosomal aberrations in single cells’,
  Peter Konings, et al., Katholieke Universiteit Leuven, Belgium.
  
• Introduction to the Emerald dataset,
  Ron Peterson, Novartis Institute of Biomedical Research, Cambridge, Massachusetts, U.S.A.
  
• Keynote, ‘Muddling or modelling your way through normalization?’,
  Ernst Wit, University of Groningen, The Netherlands.
  
• ‘Metrology for Gene Expression: Measurement Batch Effects, Probe Sensitivity, Gene-List Reproducibility’,
  Walter Liggett, NIST, Gaithersburg, Maryland, U.S.A.
  
• ‘Intrinsic metrics for hybridization control and global expression profiling – the fruit fly developmental time series’,
  Hans Binder, Mario Fasold, and Jan Brücker, IZBI, Universität Leipzig, Germany.
  
• ‘Experiment quality – direct route to reliable data’,
  Ralph Beneke, Tecan Austria.
  
• Keynote, ‘An array of FDA efforts in pharmacogenomics’,
  Weida Tong, MAQC consortium, Toxicoinformatics, FDA, Jefferson, Arizona, U.S.A.
  
• ‘Identification of spatial biases in Affymetrix oligonucleotide microarrays’,
  Jose Manuel Arteaga-Salas, et al., BEAMS, University of Essex, Colchester, U.K.
  
• ‘EMERALD microarray platform comparison based on hypothesis tests under order restrictions’,
  Florian Klinglmüller and Thomas Tuechler, Department of Statistics and Probability Theory, University of Technology Vienna, Austria.
  
• ‘Exploiting the EMERALD mixture design for model based microarray platform comparisons by Bayesian inference of technical and biological variance components’.
  Thomas Tuechler, et al., Chair of Bioinformatics, Boku University Vienna, Austria.
  
• Keynote, ‘Multiple Testing on the Graph of Gene Ontology’,
  Jelle Goeman, Leiden University Medical Center, The Netherlands.
  
• ‘Effect of Single Nucleotide Polymorphism (SNP) in Affymetrix probes’,
  Olivia Sanchez-Graillet, William B. Langdon, and Andrew Harrison, BEAMS, University of Essex, Colchester, U.K.
  
• ‘Extending pathways with inferred regulatory interactions from microarray data and protein domain signatures’,
  Christian Bender, et al., Molecular Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  
• ‘Modeling of microarray time-course data with dynamic Bayesian networks and within-time-point interaction’,
  Brian Godsey and Peter Sykacek. Chair of Bioinformatics, Boku University Vienna, Austria.
  
• ‘Inference of Key Transcriptional Regulators in Endothelial Cell Apoptosis using Bayesian State Space Models’,
  David Wild, Claudia Rangel-Escareno, and Irma Aguilar-Delfin, Systems Biology Centre, University of Warwick, U.K.