WORKSHOPS
| Biomedical Data Mining Workshop Summary: Innovation Hall 222 - Computer Lab Workshop 1 |
Presentation download: PDF (click here)
The workshop will introduce computational techniques in analyzing biomedical data. Students will gain hands on experience on applying data mining algorithms to real life biomedical applications. Examples to be discussed will include the diagnostic prediction of cancer and the classification of diabetes. Students will work in groups to practice Matlab programming on these examples guided by the instructors. After participating in the workshop, the students will gain an understanding of the states-of-the-arts biomedical data mining methods as well as their limitations, which hopefully will inspire them to further their studies in these areas.
| Protein Modeling Workshop Summary: Innovation Hall 215G - Standard Classroom Workshop 2 Please bring your own laptop or tablet, if possible. |
Interested in learning how to visualize proteins? This workshop will teach students how to interact with commonly used protein visualization tools that help model the structures of important proteins in 3D! Throughout the workshop, students will be able to apply their knowledge of biology to identify key regions of a protein and design drugs that selectively disrupt activity of that protein. The techniques learned in this workshop will provide students with the foundation to explore and design treatments for other diseases, such as cancer and Alzheimer’s.
| Sequence Analysis Tools Workshop Summary: Innovation Hall 223 - Computer Lab Workshop 3 |
PubMed, UniProt Knowledgebase, and Protein Sequence AnalysisPresentation downloads: PowerPoint (click here) or PDF (click here)
This workshop will introduce students to PubMed, the UniProt Knowledgebase (UniProtKB), and protein sequence analysis tools, including protein BLAST and multiple sequence alignment. Students will use PubMed to search for articles about a protein of interest and then view the UniProtKB record for the same protein to gain an understanding of how experimental information from the literature is interpreted and presented in a curated bioinformatics resource. In the second part, students will use protein BLAST and multiple sequence alignment along with UniProtKB annotations to predict the function of an uncharacterized protein.
ROTATION SCHEDULE FOR WORKSHOPS
| START TIME | END TIME | EVENT | Workshop by Group Color | ||
| 10:00 am | 11:30 am | Session A | Workshop 1 | Workshop 2 | Workshop 3 |
| 12:15 pm | 1:45 pm | Session B | Workshop 1 | Workshop 2 | Workshop 3 |
| 1:45 pm | 3:15 pm | Session C | Workshop 1 |
Workshop 2 | Workshop 3 |