Educational Initiatives and Data Analysis in the Microarray Core Danny Park Bioinformatics (Sidney St) Lipid Metabolism Unit (Freeman)

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Presentation transcript:

Educational Initiatives and Data Analysis in the Microarray Core Danny Park Bioinformatics (Sidney St) Lipid Metabolism Unit (Freeman)

Hats I Wear Software development, maintenance, support for Microarray Core Learning & recommending analysis techniques, algorithms, and software tools Training, teaching, educating researchers Misc. bioinformatics

Today’s Presentation Demonstrate the most basic analysis techniques Using our most commonly used software (BASE) For the most common kind of experiments While pretending you’re a typical audience (biologists, inexperienced with microarrays)

Work Flow Images & data files scan, segment upload BASE Labeled cDNA Slides QC & label hybridize RNA training / feedback analysis development MeResearcher

Work Flow, distilled BASE training / feedback analysis MeResearcher

BASE for Bioinformatics People “BioArray Software Environment” Typical web/client-server model: Clients: javascript-enabled browser Web server: Apache/PHP, some C++, Perl, R code for analysis DB server: MySQL for storage Open source, headed by thep.lu.se Functions: Data storage, archival Basic analysis: filters, transformations, normalizations, graphs, etc Not so good: clustering, visualization BASE storageanalysis Researchers

The Most Common experiment Two-sample comparison w/N replicates KO vs. WT Treated vs. untreated Diseased vs. normal Etc Question of interest: which genes are (most) differentially expressed?

Experimental Design – naïve A B

Experimental Design – tech repl A B

Experimental Design – bio repl Treatment Biological Replicate Technical Replicate Dye Array ABA B

The Most Common Analysis Filter out bad spots Adjust low intensities Normalize – correct for non-linearities and dye inconsistencies Filter out dim spots Calculate average fold ratios and p-values per gene Rank, sort, filter, squint, sift data Export to other software

Live Demo this space intentionally left blank

Acknowledgements Mason Freeman Harry Bjorkbacka Glenn Short Jocelyn Burke Najib El Messadi Jing Wang Chuck Cooper Xiaowei Wang Xiaoman Li (HSPH) Stolen powerpoint figures from Gary Churchill (Jackson Labs)