HI 6323 Datamining in Bioinformatics
Recent technological advances have put in our hands huge amounts of data in a variety of fields: chemistry, biology, medicine, finances, demographics. To analyse it, to classify it, to summarize it, to explore its meaning in an automatic fashion, sophisticated data mining algorithms and tools are needed. This course is intended to present different problems and methods in data mining with a focus on the study and analysis of complex data from bioinformatics and chemoinformatics. The algorithmic foundations, the computational methods and models for mining data from different sources will be introduced.
Consent of instructor, high-speed Internet access, personal computer.
By the end of the semester, the students will have had the opportunity to meet the following objectives:
- Understand the problem and main components of the data mining process.
- Become exposed to a broad range of computational and data mining methods and models in bioinformatics and chemoinformatics.
- Compare the most commonly used data mining methods, noting their strengths and limitations.
- Contrast a set of basic optimization models which are used in pairwise/multiple alignments.