EPSCoR in Idaho

 

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2006 IBEST Bioinformatics Workshop

August 14th, 15th, & 16th

Workshop Target
Dr. Celeste Brown, Bioinformatics Coordinator and Matt Settles, Ph.D. student in Bioinformatics and Computational Biology are presenting this 3 day workshop series as an introduction to the analysis of biological data and their interpretation. The focus of the workshop will be on the use of the IBEST computing facilities and the analysis of sequence data and microarray experiments. Material will be available for self-study. 

Participants should have some minimal background in biological, statistical and computational aspects of genetic sequences if attending the first day, and microarrays or other high-throughput data if attending the second day.

Workshop Focus 

The focus will be on analyzing and interpreting sequence data and microarray data.  The first day of the workshop will provide an introduction to the IBEST computing facilities and sequence analysis. The second day of the workshop is an introduction to microarray analysis. The third and final day of the workshop gives the participants an opportunity to bring their own data and apply the tools learned in days 1 and 2.

Workshop Agenda

Location

University of Idaho

Janssen Engineering Building (JEB) 211a

Registration

Registration is free.  Registration for the workshop is limited to the first 23 registrants due to available computer resources.   Registration for the lunch events is unlimited.  Please indicate which days you will attend and if you will be attending the lunch events.

Registration for the Workshop is Closed. - Please feel free to register for the lunch events if you wish to attend a lunch.

Registration Form

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Workshop Sponsors

NIH COBRE-CRePE


 

 

Lunch Event Details

 

Tuesday’s Sponsored Lunch – S-PLUS® and S+ArrayAnalyzer - Insightful Corporation

Dr. David Henderson – Research Scientist Insightful Corp.

Insightful Corporation is a leading provider of scalable data and text analysis solutions that drive better decisions faster by integrating statistics into business processes. Based on the flexible S language, the S-PLUS® product family delivers leading solutions for exploratory data analysis and statistical modeling, enabling analysts and researchers to perform more insightful analyses, create revealing graphics, and make more informed decisions.

Discovery researchers in many biopharmaceutical companies are using S+ArrayAnalyzer for analyzing microarray data. Gene expression microarrays are a powerful experimental platform for studies of functional genomics, toxicogenomics, cancer subtyping and a host of other applications. Differential expression analysis is a key analysis component in most studies. A major goal of such analyses is to identify genes that are differentially expressed between experimental conditions, while keeping the probability of false discoveries acceptably low. Given the many sources of variability in microarray measurements, the need for experimental design, replication and statistically rigorous pre-processing and differential expression analysis is now widely recognized. S+ArrayAnalyzer includes many components for design, data access, data preparation (probe-level analysis, normalization etc.), differential expression testing, FDR/FWER correction and interactive visualization and annotation of results. 

Wednesday’s Sponsored Lunch – GeneChip® technology -  Affymetrix Inc.

Mark Daly – Affymetrix Senior Account Manager

Affymetrix' GeneChip® microarray technology was invented in the late 1980's by a team of scientists lead by Stephen P.A. Fodor, Ph.D. The theory behind their work was revolutionary - a notion that semiconductor manufacturing techniques could be united with advances in combinatorial chemistry to build vast amounts of biological data on a small glass chip. This technology became the basis of a new company, Affymetrix.  Affymetrix’ mission is to be the leading source of molecular technologies to understand and improve life. With many new advances in the world of microarray technologies.