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High-Content Image Mining for Non-Experts
Posted March 26 2012
Workshop organised by ViroQuant-CellNetworks RNAi Screening Facility

Date:         Tuesday, 03rd of April
Time:         10:00 a.m.
Location:    BioQuant - Lecture Hall, SR041, Im Neuenheimer Feld 267
   
 

 

 

 

Speakers:

Jürgen Reymann
BioQuant, RNAi Screening Facility: Introduction into the overall concept


Christian Dietz, Martin Horn
Bioinformatics and Information Mining, 
Computer & Information Science, Konstanz
: KNIME Image Processing: Overview & Outlook

 

Image mining nowadays plays an outstanding role when trying to gain information about any biological sample: The information content obtained from raw data (microscope images) depicts the basis for any further modeling of the biological system.

 
  • Within this workshop we will introduce KNIME as a new open source software platform which enables highly sophisticated image mining workflows to be set up by non-expert users. The software platform bundles a wide variety of image processing and data mining tools being developed during the last decade and makes them available in a simple graphical workflow arrangement.