Ümit V. Çatalyürek

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BMI/IBGP 731 Advanced Topics in Biomedical Data Management

Winter 2007

Course Director: Umit Catalyurek, PhD, Department of Biomedical Informatics
Office: 3167B Graves Hall

Class Hours: Tue & Thu 9:00–10:18am    Location: 3167 Graves Hall

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Date

Lecturer

Topic

1 January 4 Umit Catalyurek Intoduction
2 January 9 Ilya Ioshikes Sequence Analysis
3 January 11 Ilya Ioshikes Gene Regulation (or Mass Spectrometry or RLGS)
4 January 16 Daniel Janies Sequence Databases
5 January 18 Daniel Janies Phylogenetics: Basic theory, optimization (tree search) and parallelization
6 January 23 Scott Oster/Shannon Hastings/Stephen Langella caBIG – overall architecture
7 January 25 Metin Gurcan Computer-Aided Diagnosis - 1
8 January 30 Metin Gurcan Computer-Aided Diagnosis - 2
9 February 1 Ashish Sharma/Tony Pan IVI middleware
10 February 6 Kun Huang Image Analysis, Visualization, Classification
11 February 8 Kun Huang Image Analysis on Microscopy
12 February 13 Students Paper presentation
13 February 15 Students Paper presentation
14 February 20 Philip Payne Clinical information systems
15 February 22 Philip Payne Translational research
16 February 27 Umit Catalyurek Microarray – Design and Analysis
17 March 1 Umit Catalyurek Biomedical Informatics and High Performance Computing
18 March 6 Students Term Project Presentation
19 March 8 Students Term Project Presentation
  March 13,15 Exam Week No class

 

Grading:

Class participation 10%
Homework(s) 15%
Paper presentation 20%
Progress Report 10%
Term Project Report 30%
Term Project Presentation 15%

 

Term Projects:

Project Proposals are due Jan 18th, 2007
Progress reports are due Feb 15th, 2007
Final reports are due March 13th, 2007
           
Sample topics:

  1. Image Analysis: Implement a software system that will automatically retrieve images from a PACS system (BMI will run a software PACS system on its own machines) and will execute an image analysis code, such as segmenting nuclei
  2. DICOM/PACS: Design, architect and implement a picture archival system that will run on distributed heterogeneous cluster of machines.
  3. Classification of tumors and identification of differentially expressed genes using gene expression data.

Reports and homeworks are due at the beginning of class (9am) on the due date.

©2006 Umit Catalyurek. Last Update: July 20th, 2006