Course - Cold Spring Harbor, NY, United States
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, with applications from metagenomic, RNA-Seq, and CHiP-Seq experiments
•The Galaxy environment for high-throughput analysis
•Regulatory element and motif identification from conserved signals in aligned and unaligned sequences
•Integration of genetic and sequence information in biological databases
•Genome Browsers and Genome Features
•The Galaxy environment for high-throughput analysis
•Regulatory element and motif identification from conserved signals in aligned and unaligned sequences
•Integration of genetic and sequence information in biological databases
•Genome Browsers and Genome Features
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 individuals in other disciplines (e.g., computer science) who wish to survey current research problems in biological sequence analysis. Advanced programming skills are not required.
- Organization: Cold Spring Harbor Laboratory
Wed, Oct 28, 2015 - Tue, Nov 03, 2015
CSHL Campus
Cold Spring Harbor, United States
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