Session 4: data analysis in IPython Notebook

Copy rsem-final out of the biology bootcamp shared directory into your home directory (‘Home’).

At the command line, now do

cd ~/rsem-final && ipython notebook --pylab=inline

We’ll work through a new notebook first, and then go through ‘rsem-ebseq’.

Additional IPython resources:

• The ipynb site: http://ipython.org/notebook.html
• A gallery of interesting notebooks: https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks
• The matplotlib gallery: http://matplotlib.org/gallery.html

Note that you can use ‘%loadpy’ in IPython Notebook to grab code from online and import it into your notebook automagically.