June 2015
Intermediate to advanced
306 pages
6h 50m
English
Content preview from Bioinformatics with Python CookbookBecome 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,
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Chapter 5. Population Genetics Simulation
In this chapter, we will cover the following recipes:
- Introducing forward-time simulations
- Simulating selection
- Simulating population structure using island and stepping-stone models
- Modeling complex demographic scenarios
- Simulating the coalescent with Biopython and fastsimcoal
Introduction
In the previous chapter, we used Python to analyze population genetics datasets based on real data. In this chapter, we will see how to use Python to simulate population genetics data. From teaching to developing new statistical methods or to analyze the performance of existing methods, simulated datasets have plenty of applications.
There are two kinds of simulation. One is coalescent simulation that goes backwards in time. ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.