The Computational Genomics course will take place at Cold Spring Harbor Laboratory from December 3 to 11, 2024. The course presents a comprehensive overview of the theory and practice of computational methods for the characterization of functional elements in DNA and RNA sequence data, helping students achieve a deep, algorithmic understanding of the technologies and methods used to reveal genome function through both lectures and hands-on exercises.
- Topics include:
Protein & DNA sequence similarity, comparisons, multiple alignments, and database searches - Alignment & analysis of high-throughput sequencing data, with applications from RNA-Seq & ChIP-Seq experiments
- Analysis environments including Galaxy, RStudio, and the UNIX command line, with a strong focus on reproducible research
- Statistical considerations in the design and analysis of genomic experiments
- 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 features
David Hawkins, from the University of Washington School of Medicine, Danny Miller, from the University of Washington Seattle, and Lauren Mills, from the University of Minnesota will serve as the course instructors.
Advanced programming skills are not required. Applications are due by August 15, 2024. For more information visit the course website.
