I encourage all of you who are interested in a more in-depth
understanding of protein and DNA sequence analysis methods to consider
the Computational Genomics Course at Cold Spring Harbor this fall.
The description below summarizes the overall structure of the course.
This fall, we will have more emphasis on genome-scale analysis and
genome databases as well.
Some of you may also be interested in the fall CSHL "Bioinformatics"
course, directed by Lincoln Stein. The "Bioinformatics" course
focusses on Perl scripting for accessing Biological Databases
(typically on the WWW). The "Computational Genomics" course focusses
on the computational methods used to analyze and interpret sequence
data.
Bill Pearson
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Application deadline: 15 July 2001
www.cshl.org/meetings
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COMPUTATIONAL GENOMICS
October 31 - November 5, 2001
INSTRUCTORS:
Pearson, William, Ph.D., University of Virginia, Charlottesville, Va
Smith, Randall, Ph.D., SmithKline Beecham Pharmaceuticals, King of Prussia, PA
Beyond BLAST and FASTA - This course presents a comprehensive overview
of the theory and practice of computational methods for gene
identification and characterization from DNA sequence data. The
course focuses on approaches for extracting the maximum amount of
information from protein and DNA sequence similarity through sequence
database searches, statistical analysis, and multiple sequence
alignment. Additional topics include gene recognition (exon/intron
prediction), identifying signals in unaligned sequences, and
integration of genetic and sequence information in biological
databases. The course combines lectures with hands-on exercises;
students are encouraged to pose challenging sequence analysis problems
using their own data. The course makes extensive use of local WWW
pages to present problem sets and the computing tools to solve them.
Students use Windows and Mac workstations attached to a UNIX server;
participants should be comfortable using the Unix operating system and
a Unix text editor. The course is designed for biologists seeking
advanced training in biological sequence analysis, computational
biology core resource directors and staff, and for scientists in other
disciplines, such as computer science, who wish to survey current
research problems in biological sequence analysis.
