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 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.
primary focus of the Computational & Comparative Genomics
course is the theory and practice of algorithms in computational
biology, with the goals of using current methods more effectively
for biological discovery and developing new algorithms.
The schedule and lectures for last years Computational &
Comparative Genomics course can be found at: fasta.bioch.virginia.edu/cshl.
Students more interested in the practical aspects of software
development are encouraged to apply to the course on Programming for Biology. 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.