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Cold Spring Harbor Laboratory, Cold Spring Harbor, New York USA
November 5 - 11 2008
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. The primary focus of the Computational Genomics course is the theory and practice of algorithms used in computational biology, with the goal of using current methods more effectively and developing new algorithms.
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Organized by:
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William Pearson, Randall Smith |
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Invited Speakers:
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Speakers in the 2007 course included:
Stephen Altschul, National Library of Medicine
Eric Green, National Human Genome Research Institute/ NIH
Ross Hardison, Penn State University
Eric Sayers, National Library of Medicine
Giulietta Spudich, EMBL-European Bioinformatics Institute
James Taylor, New York University
Deborah Triant, Louisana State University
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Deadline for Abstracts:
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July 15, 2008
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Registration:
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How to apply
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E-mail:
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meetings@cshl.edu
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