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Held in conjunction with European Lab Automation
29 May 2012, at 13:30 - 17.00 in Hamburg, Germany
Main Course Objectives:
* Specify the steps of HCS data analysis
* Very simple data management and data structures
* Background in image processing
* Library management and library quality
* List the issues associated with HCS data analysis
* List various data standards
* Open source versus commercial software applications
* Role of workflow systems in HCS
* Laboratory Information Management Systems (LIMS): web versus desktop
* Quality control and normalization
* Explain what filtering is and how it should be properly used
* List different pattern discovery techniques such as clustering and classification
* Explain how biological interpretation is linked to pattern discovery
* List the different modules of an HCS informatics system
Topics and Course Organisation
"Analysis and Management of Screening Data"
Part I - 1 Hour
* Specify the steps of HCS data analysis
* Very simple data management and data structures
* Background in image processing
* Library management and library quality
* List the issues associated with HCS data analysis
* List various data standards
Coffee Break 15 min
Part II - 1 hour
* Open source versus commercial software applications
* Role of workflow systems in HCS
* Laboratory Information Management Systems (LIMS): web versus desktop
* Quality control and normalization
* Explain what filtering is and how it should be properly used
* List different pattern discovery techniques such as clustering and classification
* Explain how biological interpretation is linked to pattern discovery
* List the different modules of an HCS informatics system
15 Minute Open Discussion
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 Karol Kozak, Head, ETH Zurich
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