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Genomics in Biomedical Research
Principles and Applications of Computational and Experimental Genomic Tools to Biomedical Problems

Dates April 10-12, 2006
Location Perseverance Hall, Lawrence Berkeley National Laboratory, Berkeley, CA
Registration Fee $200
Contact Dario Boffelli

Application deadline: January 20, 2006

Course Description:
The completion of the Human Genome Project and the availability of sequences of the genomes of species ranging from fish to primates have revolutionized biomedical research. This massive availability of comparative sequence data enables biomedical researchers to efficiently sift through large genomic regions to develop and test hypothesis about the function and regulation of genes.

The purpose of this course is to introduce bench biomedical scientist to the computational and experimental tools that have been developed to use the data generated by the Human Genome Project and other large scale sequencing programs. This course provides a detailed introduction to using genome sequences and comparative genomics to solve problems of interest to biomedical investigators. Sessions include a combination of technical lectures, scientific testimonials and hands-on computer classes, where student will be able to put the content of the lectures into practice. Clinical examples will be drawn from heart, lung and blood disorders. Ample time will be dedicated to the analysis of the students favorite genes. By the end of the course, students should be familiar with 1) principles of experimental design using genomic resources, 2) navigating genome browsers and retrieving data from genome databases, 3) using comparative genomic tools for sifting through large genomic intervals to identify novel genes and gene regulatory elements and 4) experimental approaches to verify computational analyses.

Who should attend:
Graduate students, post-doctoral, junior and senior investigators interested in learning how to leverage sequence-based genomic resources to understand the mechanisms of disease. No previous experience with bioinformatic tools is required.

  1. Data Retrieval from Genome Sequence Databases
    • Computational tools and databases for sequence analysis.
    • UCSC and ENSEMBL genome browsers
    • Genome sequencing and annotation
  2. VISTA Tools for Comparative Genomics analysis:
    • Fundamental concepts in sequence analysis (pairwise and multiple alignments)
    • Phylogenetic analysis
    • VISTA tools for the identification of genes and gene regulatory elements.
  3. Application of genomic tools to clinically relevant problems:
    • Conserved non-coding elements and human disease
    • Resequencing of clinical samples
    • Genetic manipulation of mouse models.

For problems with the web site contact the
Berkeley PGA web siteNIH Program in Genomic applications