News:Wed 9/25 On-Line, Live Tutorial For Integrated Genome Browser
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10.8 years ago
Ann ★ 2.4k

Please join us for a live, on-line tutorial on the Integrated Genome Browser:

Focus on a Feature: Working with Sequence Data.

Wed 1-2 pm Eastern (US) Sept 25

Integrated Genome Browser (IGB) is a highly interactive, fast and flexible desktop genome browser mainly used to view data from RNA-Seq, ChIP-Seq, and other genome-scale data sets. IGB also supports viewing and interacting with sequence data from reference genomes, gene models, or alignments. For example, in IGB, you can select and copy sequence directly from the genomic sequence track or view six-frame translations in a text-based Sequence Viewer display.

In this tutorial, you'll learn how to

  • select and copy reference genomic sequence
  • view, copy, or save sequence data
  • translate sequences in all 6 frames
  • view, copy or save gene model sequences with or without introns
  • configure how sequence bases are shown
  • open genomic sequence as a new track

Example data sets will likely include cold stress or pollen RNA-Seq data sets from Arabidopsis thaliana.

To ensure that you'll be able to do the exercises along with the presenter, please test-run IGB before the tutorial. To download and start IGB, go to and followed the Download links. Once IGB starts, choose Help / Tutorials for a quick introduction to IGB.

If you have questions or need assistance, let us know. Contact:

Alyssa Gulledge

Ann Loraine

To attend the tutorial:

  1. Go to
  2. Use your microphone and speakers (VoIP) - a headset is recommended.

Or, call in using your telephone.

United States: +1 (213) 493-0606

Access Code: 238-242-685

Audio PIN: Shown after joining the meeting

Meeting ID:238-242-685

Attendance is limited to the first 25 participants who sign in. This is the second of several monthly Focus on a Feature tutorials to be offered the fourth Wednesday of every month at 1 pm Eastern time US. For recordings visit the IGB YouTube channel

visualization ChIP-seq RNA-seq igv genome-browser • 2.9k views

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