Computational Genomics - CSHL Course

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
Mor information and registration
Share this opportunity