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This book introduces life science students to fundamental computational ideas and concepts, accompanied by code snippets and exercises in Python. The book is meant to bridge the scientific gap between the computational and biological “cultures”, a challenge recognized by many computational biologists and bioinformaticians nowadays. It aims to provide life science students with basic computational thinking skills, in a friendly and context-aware manner.

You may also want to check this course's website  (at the Technion, Israel): http://ca4ls.wikidot.com/

Chapter

Code + Data (.rar)

Suggested Solutions to Exercises (in progress)

Install PIL (chapters 8-9), install Scipy, Swampy (chapter 9)

01

Crash Intro to Python

02

Efficiency Matters

03

Sets, dictionaries and hashing

04

Regular Expressions and Biological Patterns

05

Basic Notions in Graph Theory

06

Shortest Paths and Breadth First Search

07

Simulation of Regulatory Networks

08

Digital Images Representation

09

Image Processing

10

Mission Impossible

11

Mission Infeasible

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