An introduction to bioinformatics algorithms

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1. bendmorrisNov 2010
   It's such a big area that it's hard to know where to start. Have you taken an intro class or something? That might be the best way to figure out what's out there.

   I'm not sure what your computational background is but if you're not familiar with the basics like sequence alignment I suggest you check out a book. I'd recommend An Introduction to Bioinformatics Algorithms by Neil C. Jones (http://www.amazon.com/Introduction-Bioinformatics-Algorithms...). In addition to describing the algorithmic techniques, it gives synopses of current research issues and big names in the field. There are also hundreds of sample problems - some of which are active research problems - and no answer key (because often these types of problems don't have clear "best" answers). It's kind of like being taught how to swim by being thrown in a lake. If you survive, you're better off for it.

   Also, before approaching professors it helps to have read and understand their description of their research interests and maybe have read a few of their recent papers. This will give you an idea of whether they're doing something that you might be interested in or not.

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2. Dn_AbJun 2012
   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

   'Bioinformatics and Functional Genomics

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3. kluikensApr 2010
   A list of bioinformatics courses from around the world that use the textbook An Introduction to Bioinformatics Algorithms.
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