I'm not allowed to be serious for too many paragraphs in a row, but in researching the opportunities for IT people exploring bioinformatics, I amassed quite a collection of useful links, book recommendations, and other resources. If you're interested in learning more--really--you might want to start with these.Browse the human genome at the National Center for Biotechnology Information Biotechnology Industry Organization Bristol-Myers Squibb Co. Celera Genomics Group Commission on Professionals in Science and Technology Federation of American Societies for Experimental Biology career center International Society of Computational Biology National Human Genome Research Institute Computational Molecular Biology: An Algorithmic Approach (Pavel A. Pevzner, MIT Press, 2000). Biological Sequence Analysis: Probabilistic Models Of Proteins And Nucleic Acids (Richard Durbin et al, Cambridge University Press, 1999). Algorithms On Strings, Trees, and Sequences: Computer Science And Computational Biology (Dan Gusfield, Cambridge University Press, 1997) Introduction To Computational Molecular Biology (Joao Carlos Setubal, Joao Meidanis, Jooao Carlos Setubal, Pws Publishing Co., 1997) BioPerl BioJava Biopython EMBOSS
Here's a few more resources, in case you want to learn more about becoming a bioinformaticist (or simply want to impress your friends):
If you like kicking back with a good algorithm, these are for you:
Bioinformatics projects and tools to take a look at: