Ask HN: What is the best introductory bioinformatics book for a data mining researcher, so that he can understand the practical biotech applications of data mining algorithms he already know?
I too was recently looking for how someone with good machine learning experience could contribute. I signed up for the pharma, neurobiology and genomics coursera courses.
My research also pointed me to the following books. The first two I got because they were highly recommended and most fit my interests.
Genes, Proteins and Computers
A Practical Introduction to the Simulation of Molecular Systems
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##Ungot
An Introduction to Bioinformatics Algorithms
Bioinformatics : Machine learning approaches
Computational Genome Analysis,
Understanding Bioinformatics by Marketa Zvelebil
Biological Sequence Analysis, Durbin et al
Bioinformatics by David Mount :
Statistical Methods in Bioinformatics Warren J. Ewens, Gregory R. Grant
Bioinformatics Basics: Applications in Biological Science and Medicine
Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison
Understanding Bioinformatics
Bioinformatics for Dummies
Molecular Evolution
Bioinformatics and Molecular Evolution
Algorithms on Strings, Tree's and Sequences
Bioinformatics - A Practical Guide to the analysis of Genes and Protein
The Art of Molecular Dynamics Simulation
Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis
