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Cold Spring Harbor Computational and Comparative Genomics

November 6, 2013 - November 12, 2013

Cold Spring Harbor Computational and Comparative Genomics
Nov 6 – 12, 2013
Application Deadline: July 15, 2013

INSTRUCTORS:

William Pearson, University of Virginia, Charlottesville, VA
Lisa Stubbs, University of Illinois, Urbana, IL
This course presents a comprehensive overview of the theory and practice of computational methods for the identification and characterization of functional elements 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:

Alignment and analysis of “Next-Gen” sequencing data
The Galaxy environment for high-throughput analysis
Identification of conserved signals in aligned and unaligned sequences
Regulatory element and motif recognition
Integration of genetic and sequence information in biological databases
The ENSEMBL genome browser and BioMart
Function/phenotype prediction for sequence variants
The course combines lectures with hands-on exercises; students are encouraged to pose challenging sequence analysis problems using their own data. The course is designed for biologists seeking advanced training in biological sequence and genome 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. Advanced programming skills are not required.

The lecture/lab schedule for the 2012 course can be found at fasta.bioch.virginia.edu/cshl

Speakers in the 2012 course included:
Aaron Mackey, U. of Virginia, Next-Gen analysis pipelines
Francis Ouellette, Ontario Institute for Cancer Research, Databases for Biological Function
William Pearson, U. of Virginia, Similarity Searching, Multiple Alignment
Lisa Stubbs, U. of Illinois, Urbana, ChIP, Transcription Factors, and Comparative Genomics
James Taylor, Emory, Galaxy and genome analysis pipelines

 

The primary focus of the computational and comparative genomics course is the theory and practice of algorithms used in computational biology, with the goal of using current methods more effectively and evaluating new approaches. Students who wish to learn Perl programming for Bioinformatics are encouraged to apply to the Programming for Biology course. Students who would like in-depth training in the analysis of next-generation sequencing data (e.g., SNP calling and the detection of structural variants) should apply to the course on Advanced Sequencing Technologies & Applications. This Computational and Comparative Genomics course will discuss methods for phenotype prediction from variation data.

To apply to the course, follow the instructions at:

http://meetings.cshl.edu/course/courseapp_instr.shtml

Details

Start:
November 6, 2013
End:
November 12, 2013
Event Category:
Website:
meetings.cshl.edu/course/courseapp_instr.shtml

Organizer

CSHL

Venue

Cold Spring Harbor Laboratory
Cold Spring Harbor, NY 11724 United States
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