COMPUTATIONAL GENOMICS
October 31 - November 5, 1996
Program:
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.
Registration :
Further information on how to register is available here
Deadline for Abstracts: July 15, 1996
Email for Requests and Registration: meetings@cshl.org