Analysis and Management of Screening Data

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