Program of Events

Program of Events

<p> Program of Events</p><p>Tuesday, November 11</p><p>2:00 - 4:20 pm Course registration: Marley Building Lobby, University of Arizona. </p><p>4:30 pm Transportation to Temple of Music and Art.</p><p>5:00 - 5:30 pm Mixer. </p><p>5:30 pm Group Dinner sponsored by Telechem: Temple of Music and Art. </p><p>7:00 - 7:45 pm Lecture 1. Introduction to the workshop and to microarrays (David Galbraith): Temple of Music and Art. </p><p>8:00 pm onwards Discussion of participants’ goals. </p><p>Wednesday, November 12</p><p>All further lectures and lab sessions will be in the Marley Building.</p><p>8:30 – 9:20 am Lecture 2. Microarray production (David Galbraith). </p><p>9:20 - 9:45 am Lecture 3. Involving statisticians in experimental design (Cheryl Vanier; David Henderson). </p><p>9:45- 10:00 am Coffee Break. Sponsored by Agilent. </p><p>10:00 – 12:30 pm Lab session 1. (a) Target preparation (RNA isolation and precipitation). (b) RNA amplification. </p><p>12:30 – 1:30 pm Lunch sponsored by Becton-Dickinson.</p><p>1:30 – 3:00 pm Lab session 2. (a) Target preparation (Quality checking by RNA gel electrophoresis, and Quantification of RNA using spectrophotometers). (b) RNA amplification (continued).</p><p>Demonstration of Bioanalyzer instrumentation (Lenore Kelly).</p><p>1:30-3:00 pm Demonstration of Microarray Printers (small groups to Marley room 814). 3:00 – 3:30 pm Coffee Break. Sponsored by PerkinElmer Life and Analytical Sciences.</p><p>3:30 ~ *6:30 pm Lab session 3. (a) Target labeling. Array cross-linking and hybridization demonstration. Demonstration of Hybridization Workstations. (b) RNA amplification -- labeling of products.</p><p>Evening Group Dinner (no host) at Gentle Ben’s. </p><p>Thursday, November 13</p><p>8:30-9:00 am Genetix desktop microarray printer demonstration (Jim Bull). Breakfast provided. </p><p>9:00 – 9:50 am Lecture 4. Issues in experimental setup and hybridization (Rangasamy Elumalai). </p><p>10:00 - 10:45 am Lecture 5. Methods for amplifying microarray signals (Fang Cheng Gong). </p><p>10:45 - 11:15 am Coffee Break.</p><p>11:15 – 1:00 pm Lab session 4. Target preparation (purification steps). </p><p>1:00 – 2:00 pm Lunch sponsored by Amersham. Presentation on Amersham’s amplification techniques.</p><p>2:00 – 2:45 pm Lecture 6. Options in profiling platforms (Michael Deyholos, University of Alberta).</p><p>2:45 ~ 5:30 pm Lab session 5. Microarray cross linking and hybridization – participants using their materials. </p><p>5:30 - 8:00 pm Group Dinner at Marriott Hotel. Sponsored by Invitrogen. </p><p>8:30 pm Lab session 5a. Put arrays to hybridize overnight. Friday, November 14</p><p>8:30 am - 12:00 pm Lab session 6. Microarray washing and scanning -- participants. Data extraction and analysis -- participants. </p><p>After scanning, and before spot finding during lab 6: Lecture 7 on spot finding/morphology/parameters issues (Cheryl Vanier). </p><p>10:15 – 10:45 am Coffee break sponsored by Invitrogen. Group Photograph. </p><p>12:00 – 1:00 pm Lunch sponsored by Biodiscovery.</p><p>1:15 - 2:15 pm. Guest lecture: Dr. Robert Tempelman (Michigan State University). “Statistical aspects of normalization and replication in microarray experiments”. </p><p>2:15 – 3:00 pm Lab session 7. Complete spot finding. Data extraction. Introduction to Genesight; upload data. </p><p>3:00 - 3:45 pm. Lecture 8. Statistical Issues I: Experimental design and data analysis. (Cheryl Vanier). </p><p>2:15 - 5:00 pm Demonstration of PerkinElmer Life and Analytical Sciences microarray scanner (small groups).</p><p>3:45 - 4:15 pm. Coffee break. Sponsored by PerkinElmer Life and Analytical Sciences.</p><p>4:15 - 4:45 pm Guest lecture: Todd Martinsky (Telechem, Inc.). “Microarray manufacturing”. </p><p>4:45 - 7:00 pm. Lab session 7: BioDiscovery: visualizing data, available normalization and transformation procedures, links to annotation, and background correction.</p><p>7:00 pm Dinner on your own. </p><p>Saturday, November 15</p><p>9:00 – 10:00 am Lecture 9. Statistical issues II: Clustering, and Bayesian statistics for microarrays (David Henderson).</p><p>10:00 - 10:30 am Lab session 8.1. Biodiscovery’s methods for differential expression detection 10:30 - 11:00 am Coffee break. </p><p>11:00 - 12:30 pm Lab session 8.2. Statistical analysis of microarray data: Dave Henderson’s software, SAS. </p><p>12:30 – 1:30 pm Lunch sponsored by Biomicrosystems. </p><p>1:30 - 4:00 pm Lab session 8.2. (continued) and 8.3. Comparison of results from statistical analyses, multiple comparison issues.</p><p>4:00 - 5:00 pm Course wrap-up (David Galbraith) and departures. Note: lab will remain open as long as is required by the participants to complete their tasks. </p>

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