In this practical session, we will familiarize ourselves to IGV (Integrative Genomics Viewer) to assess the ChIP seq quality. IGV is used to visualize next-generation sequencing data and annotations. Open the virtual desktop and type igv
in the terminal. A window of IGV should open.
This material was adapted from the practical material written by Dora Bihary in 2019.
Now click File > Load from File… and open the bam files and peak files. Let’s open “tp53_r1.fastq_trimmed.fastq_sorted.bam” and its input file “input.fastq_trimmed.fastq_sorted.bam”, as well as the narrowPeak file “tp53_r1.fastq_trimmed.fastq_sorted_peaks.narrowPeak” and summit bed file “tp53_r1.fastq_trimmed.fastq_sorted_summite.bed” in the data directory (/home/ubuntu/Course_Materials/ChIPSeq/practicals/data).
Zoom into one of the peak regions.
Select bam files you have loaded, right click them and select “Group Autoscale”.
Bookmark this region: Go to Regions > Region Navigator. Click Add, and give your region a name (eg. MyFirstRegion) in the “Description” field. Click “View”. This way if you navigate somewhere else on the genome you can always easily access this region from Regions > Region Navigator.
Remove all the files (just so it’s easier to see.) Load BigWig files (“tp53_r1.fastq_trimmed.fastq_sorted_standard_treat_pileup.bw” and “tp53_r1.fastq_trimmed.fastq_sorted_standard_control_lambda.bw”)
Group autoscale the two tracks so they are comparable.
Set different colours for each of the tracks (Right click at the file name, choose Change Track Color (Positive values)…).
Export an image from File > Save Image and have a look at the saved file.