COMPUTATIONAL GENOMICS
October 31 - November 5, 1996
APPLICATION DEADLINE: 15th July 1996
William Pearson, University of Virginia
Randall Smith, Baylor College of Medicine
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 to extracting
the maximum amount of information from protein and DNA sequence
similarity through sequence database searches, statistical analysis,
multiple sequence alignment, and phylogenetic analysis. 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 is taught using Unix
workstations, and participants are expected to be comfortable using the
Unix operating system, programs, and a Unix text editor (programming
knowledge is not required). The course is ideal for biologists seeking
advanced training in biological sequence analysis, computer core
directors and staff for molecular biology or genetics resources, and for
scientists in other disciplines, such as computer scientists, who wish
to survey current research problems in biological sequence analysis.
Information about our courses and meetings and how to apply for this
course, fees, scholarships, how to get to Cold Spring Harbor etc, is
all available at our web site http://www.cshl.org/meetings/
--
Meetings & Courses
Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724
General info at www.cshl.org/meetings/ ** general enquiries:
meetings at cshl.org ** fax 516 367 8845 ** tel 516 367 8346
