Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Overview

The Integrative Genomics Viewer (IGV) from the Broad Center allows you to view several types of data files involved in any NGS analysis that employs a reference genome, including how reads from a dataset are mapped, gene annotations, and predicted genetic variants.

 

Get your data

We are going to look at two mapping results- for samples C1_R1 and C2_R2.  Download the corresponding bam files and index files from here onto your computer.

Launching IGV

Warning

For the remainder of the tutorial, work on your local machine. NOT TACC!

There are two ways; Launching IGV in your web browser or by downloading the binaries locally and running IGV from your machine. We are just going to run it from web browser for this demo.

In a Web browser

Navigate a web browser to this page:http://www.broadinstitute.org/software/igv/download. You will need to register your email address to use this option!

Go ahead and click on the "Launch with 2 GB" option. This will download a "Java Web Start" file that you can launch by locating it on your Desktop and double-clicking.

Locally on a Mac or Windows computer

Use this link to download IGV:

http://www.broadinstitute.org/software/igv/download

If this is not working, you might need to try the web start.

Load genome track on IGV

From the main window of IGV, click on Genomes > Load Genome from server....  Choose dm3  Because our genome is already on the IGV server, we can do this.

Load mapped reads into IGV

From the main window of IGV, click on File > Load from File.... Choose both your bam files.

After loading the reference genome and loading an alignment file, click on the + button in the upper right until reads appear! 

Look at one of the differentially expressed genes on IGV

The top 10 upregulated genes from our cuffdiff results were:

scf

crc

KdelR

Nacalpha

CG8979

CG4389

Vha68-2

regucalcin

CG3835

CG1746


Just type the gene name into the text box to look for the gene. Notice you'll need to zoom in and out to see the whole gene. Look to see if the coverage is different between these two samples. See if you can identify spliced alignments. Look to see how coverage is at exons compared to introns.