Brief Introduction to Bioinformatics and Computational Biology
These are the course materials for a Brief Introduction to Bioinformatics and Computational Biology short course offered occasionally to institutions interested in the FLAD Computational Biology Collaboratorium hosted by the Instituto Gulbenkian da Ciencia, Oeiras, Portugal. This instance will be delivered on June 19-20, 2006 at the Instituto de Sistemas e Robotica at the Instituto Superior Tecnico. Below are some of the materials used. The materials used for previous versions of this course are available: 2002 and 2001.
Monday, June 19, 2006
- Information Processes in Biology
- Synthetic, Multi-Disciplinary Approach to Biology
- Grand Challenges
- Full Curriculum for Bioinformatics and Computational Biology
- Some traditional components of Bioinformatics
- Literature Discussion and Useful Resources.
Tuesday, June 20, 2006
14:30 - 15:30
Microarray Data Analysis with Data Mining and Machine Learning Methods (pdf) by Miguel Rocha and Isabel Rocha, Universidade do Minho
10:00 - 11:00
GENE-CBR: a Case-Based Reasoning Tool for Cancer Diagnosis using Microarray Datasets (ppt) by Florentino Fernandez Riverola, Universidad de Vigo.
12:00 - 13:00
Machine Learning Methods for Computational Proteomics and Beyond by Pierre Baldi, University of California, Irvine
Courses and Programs
Kanehisa, M. . Post-Genome Informatics. Oxford University Press.
Campbell, A.M. and L.J. Heyer . Discovering Genomics, Proteomics and Bioinformatics (2nd Edition). Benjamin Cummings.
Palsson, B.O. . Systems Biology : Properties of Reconstructed Networks. Cambridge University Press.
Gentleman, R., V. Carey, W. Huber, R. Irizarry, S. Dudoit (Eds.) . Bioinformatics and Computational Biology Solutions Using R and Bioconductor. Springer.
Baldi. P. and S. Brunak . Bioinformatics: The Machine Learning Approach (second edition). MIT Press.
Wada, A. . Bioinformatics:the necessity of the quest for first principles in life. Bioinformatics. V. 16, pp. 663-664.
Cracking the Code of Life(PBS Show)
Representations and Algorithms for Computational Molecular Biology by Russ Altman, Stanford University