Different views of bioinformatics CS view: what are the algorithms, data structures and other concepts needed to develop tools to solve biological problems.

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Presentation transcript:

Different views of bioinformatics CS view: what are the algorithms, data structures and other concepts needed to develop tools to solve biological problems Biologist view: how to use tools to solve typical problems of interest in biology More theoretical view: what new algorithms are suggested by biological applications

Too much for one quarter Genomics: DNA, RNA Protein function Algorithms for alignment Gene microarrays Proteomics/Mass spec Protein structure prediction

Our runner-up course book "Protein Bioinformatics : An Algorithmic Approach to Sequence and Structure Analysis"Ingvar Eidhammer; Hardcover; $69.86 Takes the CS point of view Limited to issues regarding proteins Too many errors for my comfort zone

Background reference "Protein Stucture and Function (Primers in Biology)” Gregory A. Petsko and Dagmar Ringe; Paperback; $47.66 Excellent material on basic biology (great pictures!) but not bioinformatics. Describes how proteins function Good reference for biochemistry of proteins and their function

Biologist-focused book "Bioinformatics and Functional Genomics" Jonathan Pevsner; Paperback; $72.16 “First class had 80 grad students and several hundred auditors” at Johns Hopkins Presents “how to use” bioinfo tools from the perspective of a biomedical researcher Not so much on how the algorithms work but a good way to see how they are used

Comprehensive reference "Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Third Edition"Andreas D. Baxevanis and B. F. Francis Ouellette, eds; Hardcover; $60.00 This is an edited collection of essays by experts on the use of different bioinfo tools in different areas. Intended as a reference (not a textbook)

Just the algorithms "An Introduction to Bioinformatics Algorithms (Computational Molecular Biology)” Neil C. Jones; Hardcover; $42.67 More of a focus on algorithms, with less coverage of applications The next step in the CS direction in bioinformatics (e.g., PhD level course)