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Rudy Guerra, PhD Department of Statistics, Rice University
Statistical Genetics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Problems center on identifying and characterizing associations between genes and phenotypes (diseases, cholesterol, plant height).
Bioinformatics: The New Era The National Center for Biotechnology Information (2001)  Bioinformatics is the field of science in which  biology ,  computer science , and  information technology  merge into a  single discipline. There are three important sub-disciplines  within bioinformatics: the development of new  algorithms  and  statistics  with which to assess relationships among members  of  large data sets ; the analysis and interpretation of  various  types of data  including nucleotide and amino acid sequences,  protein domains, and protein structures; and the development  and implementation of tools that enable efficient access and  management of different types of information."
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Microarray Corner of 2-sample cDNA slide Corner of Affymetrix Human chip
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DNA copy number profiles of 57 medulloblastomas based on SNP array Tumor Chromosome 6 7 17 1 22 Gain Loss
 
 
Rice Statistics Department:  Statistical Genetics & Bioinformatics Major Research  Components of Research Rudy Guerra Dennis Cox Marek Kimmel Javier Rojo Marina Vannucci Collaborators Applications Intra-department Cancer, heart disease, metabolic syndrome, MD Anderson, BCM-TCH genomic disorders, obesity, cholesterol

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03 Guerra, Rudy

  • 1. Rudy Guerra, PhD Department of Statistics, Rice University
  • 2.
  • 3. Bioinformatics: The New Era The National Center for Biotechnology Information (2001) Bioinformatics is the field of science in which biology , computer science , and information technology merge into a single discipline. There are three important sub-disciplines within bioinformatics: the development of new algorithms and statistics with which to assess relationships among members of large data sets ; the analysis and interpretation of various types of data including nucleotide and amino acid sequences, protein domains, and protein structures; and the development and implementation of tools that enable efficient access and management of different types of information."
  • 5.  
  • 6. Microarray Corner of 2-sample cDNA slide Corner of Affymetrix Human chip
  • 7. Areas of significant correlation on chr 4
  • 9. DNA copy number profiles of 57 medulloblastomas based on SNP array Tumor Chromosome 6 7 17 1 22 Gain Loss
  • 10.  
  • 11.  
  • 12. Rice Statistics Department: Statistical Genetics & Bioinformatics Major Research Components of Research Rudy Guerra Dennis Cox Marek Kimmel Javier Rojo Marina Vannucci Collaborators Applications Intra-department Cancer, heart disease, metabolic syndrome, MD Anderson, BCM-TCH genomic disorders, obesity, cholesterol