Skip to Content
Bioinformatics with Python Cookbook
book

Bioinformatics with Python Cookbook

by Tiago Antao
June 2015
Intermediate to advanced
306 pages
6h 50m
English
Packt Publishing
Content preview from Bioinformatics with Python Cookbook

Exploring a dataset with Bio.PopGen

In this chapter, we will perform an initial exploratory analysis of one of our generated datasets. We will analyze the 10 percent sampling of chromosome 2 without the offspring. We will look for monomorphic loci (in this case, SNPs) across populations along with how to research minimum allele frequencies and expected heterozygosities.

Getting ready

You will need to have run the previous two recipes and should have the hapmap10_auto_noofs_2.gp and hapmap10_auto_noofs_2.pops files. We will also use the metadata file downloaded in the first recipe.

For this code to work, you will need to install Genepop from http://kimura.univ-montp2.fr/~rousset/Genepop.htm. We will use the interface provided by Biopython to execute ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Bioinformatics with Python Cookbook - Second Edition

Bioinformatics with Python Cookbook - Second Edition

Tiago Antao
Machine Learning Using TensorFlow Cookbook

Machine Learning Using TensorFlow Cookbook

Alexia Audevart, Konrad Banachewicz, Luca Massaron

Publisher Resources

ISBN: 9781782175117