This 2-day hands-on workshop will instruct participants on how to efficiently manage and analyze ChIP-seq data starting from sequence reads through to peak calling, finishing with visualization and functional assessment of identified genomic regions. 

Prerequisites?

This is one of our advanced workshops, and requires registrants to have attended the following Basic workshops offered by our training team within the last 6-8 months:

• Introduction to command-line interface workshop
  
• Introduction to R

If you have not taken the above workshops with us, but are already fluent with R and shell/bash and already use HMS-RC's O2 cluster, please do the following:

• Complete the registration first
• Then email us directly at hbctraining@hsph.harvard.edu with a description of your knowledge/experience.

Who should attend?

Eligible* Harvard researchers who want to learn: 

1. How to design a good ChIP-seq experiment
2. The analysis workflow starting with raw ChIP-sequencing data (Illumina) and identifying significantly enriched regions ("calling peaks")
3. How to compute and assess QC metrics and make subsequent decisions at every step in the workflow
4. How to visualize and qualitatively assess the quality of the called peaks
5. How to take genomic regions and generate biologically-relevant information, i.e. annotation and functional analysis.