“Adventures in Transcription Factor Networks”: preview chapter from our book

Biosystems Analytics

As I blogged about previously my Amber Biology colleague, Gordon Webster and I are writing a book Python For The Life Sciences, and today we are releasing a sample chapter.

amazing-adventures In this chapter we show you how to extract and examine data generated from cellular interaction networks, sometimes affectionately known as “hairball” data. In particular, we’ll show  you an example of reading in data on transcription factor networks from yeast. We will take you through the steps of reading in files; creation of set data structures and simple queries.  To give you a flavour, here’s a brief extract from the Chapter (the full sample chapter is available as a PDF download):

A set, as you might recall from distantly remembered introductory maths classes, contains only unique members.  In the context of the data structures for transcription networks, this means for each transcription factor, we only need…

View original post 516 more words

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s