1. Aprende
    2. /
  2. Cursos
    3. /
  3. ChIP-seq with Bioconductor in R
  • 1

    Introduction to ChIP-seq

    Gratuito

    Introduction to ChIP-seq experiments. Why are they interesting? What sort of phenomena can be studied with ChIP-seq and what can we learn from these experiments.

  • 2

    Back to Basics - Preparing ChIP-seq data

    Now the ChIP-seq analysis begins in earnest. This chapter introduces Bioconductor tools to import and clean the data.

  • 3

    Comparing ChIP-seq samples

    This chapter introduces techniques to identify and visualise differences between ChIP-seq samples.

  • 4

    From Peaks to Genes to Function

    Being able to identify differential binding between groups of samples is great, but what does it mean? This chapter discusses strategies to interpret differential binding results to go from peak calls to biologically meaningful insights.

Initializing

Ejercicio

Reading BED files

In this exercise, you will load peak calls from a BED file and use the information about peak locations to extract reads that overlap with the peaks from a BAM file.

Instrucciones

100 XP
  • Use the import.bed function to load peak calls from chr20_peaks.
  • Use these peak calls to create a BamViews object for chr20_bam.
  • Load the reads overlapping with the peak calls.