How Long Does It Take To Learn Bioinformatics

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Python for Biologists

Author: Martin Jones
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2013
Python for biologists is a complete programming course for beginners that will give you the skills you need to tackle common biological and bioinformatics problems.
Bioinformatics For Dummies

Author: Jean-Michel Claverie
language: en
Publisher: John Wiley & Sons
Release Date: 2011-02-10
Were you always curious about biology but were afraid to sit through long hours of dense reading? Did you like the subject when you were in high school but had other plans after you graduated? Now you can explore the human genome and analyze DNA without ever leaving your desktop! Bioinformatics For Dummies is packed with valuable information that introduces you to this exciting new discipline. This easy-to-follow guide leads you step by step through every bioinformatics task that can be done over the Internet. Forget long equations, computer-geek gibberish, and installing bulky programs that slow down your computer. You’ll be amazed at all the things you can accomplish just by logging on and following these trusty directions. You get the tools you need to: Analyze all types of sequences Use all types of databases Work with DNA and protein sequences Conduct similarity searches Build a multiple sequence alignment Edit and publish alignments Visualize protein 3-D structures Construct phylogenetic trees This up-to-date second edition includes newly created and popular databases and Internet programs as well as multiple new genomes. It provides tips for using servers and places to seek resources to find out about what’s going on in the bioinformatics world. Bioinformatics For Dummies will show you how to get the most out of your PC and the right Web tools so you'll be searching databases and analyzing sequences like a pro!
Python Programming for Biology

Author: Tim J. Stevens
language: en
Publisher: Cambridge University Press
Release Date: 2015-02-12
This book introduces Python as a powerful tool for the investigation of problems in computational biology, for novices and experienced programmers alike.