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Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
October 10 - 31, 2006
Today, the computer is an indispensable part of a research biologist's toolkit. The success of the human and other organism genome projects has created terabytes of data on everything from genetic linkage mapping, to nucleotide sequences, to protein structures, stashed away in databases around the globe. Large-scale technologies such as DNA microarrays and high-throughput genotyping have transformed the nature of laboratory experimentation. Furthermore, even when biologists are not generating large data sets of their own, they will want to collect and analyze data from myriad sources in the pursuit of novel candidates or even entire research avenues. A few years ago it might have been sufficient to use Excel spreadsheets for managing laboratory data and canned Web interfaces for searching, but as the volume of data grows and the subtlety of analysis increases, these techniques, even supplemented by some simple programming skills, have become inadequate. Modern biologists must be adept at juggling disparate data sets in order to pursue their research. Designed for students and researchers with some prior programming experience, the two-week Advanced Bioinformatics program will give biologists the expanded bioinformatics skills necessary to construct computational systems that can exploit this increasingly complex information landscape, with an emphasis on fitting the wide range of existing analysis tools into extensible bioinformatics systems. The course combines formal lectures with hands-on sessions in which students work to solve a series of problem sets covering common scenarios in the acquisition, validation, integration, analysis and visualization of biological data. For their final projects, students will pose problems using their own data and work with each other and the faculty to solve them. The prerequisites for the course are basic knowledge of UNIX, procedural Perl programming, HTML document creation and the database query language, SQL. Lectures and problem sets covering this background material are available online and students can study this material before starting the course
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Organized by:
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Suzanna Lewis, Simon Prochnik, Lincoln Stein, James Tisdall |
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Invited Speakers:
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Guest Lecturers to be announced
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Deadline for Abstracts:
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July 15, 2006 for applications
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Registration:
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Apply here
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E-mail:
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meetings@cshl.edu
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