Spring 2012, Mondays and Wednesdays 3:00-4:15pm, HEC111
Office hour: Mondays and Wednesdays 4:20-5:20pm, HEC 210
Instructor: Xiaoman Li
This course focuses on tools and resources in bioinformatics. Topics include miRNA, RNA structure, protein motifs, protein structure, protein-DNA interaction, and so on. Different from classical Bioinformatics courses that target on method development, this course aims to teach students useful tools and resources in bioinformatics, and the idea behind these tools and resources, which will benefit their research.
There is no pre-requisite for the course. Any graduate students from BSBS, EECS, or Biology can take this course.
Textbook: No required textbook. All class contents are provided in the lecture slides and published papers.
Assignments and grading
Graduate students: choose one topics and read 3~5 papers. Inform the instructor the topic and the papers by Feb 1, submit ppt slides by March 19 (30%). 60-minute presentation and discussion (30%). Write a 1~2 page review paper based on the papers and theirs references. The review must include the background, what have been done and at least two points about what can be done for future research (40%). The review is due on April 23.
Undergraduate students: choose 1~2 papers to read. Inform the instructor the topic and the paper by Feb 1, submit ppt slides by March 19 (30%). 30-minute presentation and discussion (30%). Write a 1~2 page review paper based on the papers and theirs references. The review must include the background, what have been done and at least two points about what can be done for future research (40%). The review is due on April 23.
Absolutely no cheating is allowed. Please read the policy on Academic misconduct and cheating on http://www.goldenrule.sdes.ucf.edu/2e_Rules.html
01/11 UCSC genome browser and Ensembl genome browser: some useful tools from PCB6596
01/18 p-value, multiple comparisons, Gene ontology
01/25 Predict miRNA target genes
01/30 Predict miRNA host genes
Predict RNA structure
02/01 RNA secondary structure
02/06 Estimating "energy" parameters
Align and fold
Align then fold
Predict protein motifs
02/08 EMI and prosite motifs
02/13 Insight from minimotif and minimotif miner
02/15 How to predict protein motifs
02/20 The disorder regions of proteins
Predict protein structure
02/22 Importance, CASP, and structure genomics, X-ray crystallography or NMR spectroscopy
02/27 Ab initio protein modelling
02/29 Comparative protein modeling: Homology modeling
03/12 Comparative protein modeling: Protein threading
03/14 Macromolecular docking
03/19 Molecular dynamics
Homology modeling for protein-DNA interaction
03/21 Protein-DNA docking
03/26 Connecting protein structure with predictions of regulatory site
03/28 Ab initio prediction of transcription factor targets using structural knowledge