CSHL Statistical Analysis of Genome Scale Data Course, June 7-21, Applications due March 1
Cold Spring Harbor Laboratory is hosting the course, “Statistical Analysis of Genome Scale Data,” from June 7-21, 2024. Harmen Bussemaker, from Columbia University, Sean Davis, from the University of Colorado Anschutz School of Medicine, Hans Tomas Rube, from the University of California Merced, and Min Zhang, from the University of California, Irvine will serve as the course instructors. The class focuses on building competence in statistical methods for analyzing high-throughput data in genomics and molecular biology in both experimental and computational biologists through detailed lectures and presentations by instructors and guest speakers and hands-on computer tutorials. The guess speakers for 2024 are Harmen Bussemaker, from Columbia University, Leonardo Collado Torres, from the Lieber Institute for Brain Development, Ludwig Geistlinger, from Harvard Medical School, Hans Rube, from the University of California, and Min Zhang, from the University of California, Irvine.
Topics include:
- The R environment for statistical computing and graphics
- Introduction to Bioconductor
- Review of basic statistical theory and hypothesis testing
- Experimental design, quality control, and normalization
- High-throughput sequencing technologies
- Expression profiling using RNA-Seq and microarrays
- In vivo protein binding using ChIP-Seq
- High-resolution chromatin footprinting using DNase-Seq
- DNA methylation profiling analysis
- Integrative analysis of data from parallel assays
- Representations of DNA binding specificity and motif discovery algorithms
- Predictive modeling of gene regulatory networks using machine learning
- Analysis of post-transcriptional regulation, RNA binding proteins, and microRNAs
Applications are due by March 1st. For more information visit the course website.
