Name: Bioinformatics and molecular evolution
ISBN: 9781405106832

Bioinformatics and molecular evolution

"In the current era of complete genome sequencing, Bioinformatics and Molecular Evolution provides an up-to-date and comprehensive introduction to bioinformatics in the context of evolutionary biology. This textbook will equip readers with a thorough understanding of the quantitative methods used in the analysis of molecular evolution, and will be essential reading for advanced undergraduates, graduates, and researchers in molecular biology, genetics, genomics, computational biology, and bioinformatics courses."--Jacket.

What Hacker News says

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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jergasonNov 2009

I am in an undergraduate-level bioinformatics course right now, and can echo what was said about statistics. The biology isn't too tough to pick up, but I am weak in stats and that is my greatest difficulty with this class. That said, I am enjoying it immensely. The book we use is a good overview of the subject - http://www.amazon.com/Bioinformatics-Molecular-Evolution-Pau... -Bioinformatics and Molecular Evolution. Most of the tools that bioinformaticians use are buggy, horribly designed and very unfriendly to the average user. One way to get involved is just improving the usability and stability of the tools. There are plenty of command line tools that you can add a GUI to if that is your thing:

http://bio-bwa.sourceforge.net/

http://abacus.gene.ucl.ac.uk/software/paml.html

http://samtools.sourceforge.net/

You don't need to know too much to contribute. If you are in Utah and interested I could get you some contacts with professors.

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