Technology Development Studio (TDS)

The Technology Development Studio of the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden offers hands-on courses for working with quantitative data with KNIME.

1. Fundamental aspects of working with KNIME
2. Data input/output
3. Data wrangling (filter data, join/concatenate tables, group/pivot, rule engine etc)
4. Data visualization (boxplot, barplot etc)
5. Automation using loops and flow variables
6. Clustering (various clustering methods and distance measures)

This course is aimed at people without expertise in KNIME and in programming dealing with quantitative data.
Participants should bring their own computer. All software is open source, instruction for installation will be sent ahead of the course.

For registration and further information please contact the TDS (tds-clinic@mpi-­cbg.de).

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The Technology Development Studio of the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden offers hands on courses on image analysis using CellProfiler.

1. Fundamental aspects of image analysis
2. Fundamental aspects of working with CellProfiler
3. Importing images
4. Image manipulation (smoothing, enhancing features)
5. Segmentation
6. Masking
7. Relating objects
8. Measuring features
9. Creating control images
10.  Exporting data

This course is aimed at people with no programming skills dealing with image analysis tasks.
Participants should bring their own computer. All software is open source, instruction for installation will be sent ahead of the course.

For registration and further information please contact the TDS (tds-clinic@mpi-­cbg.de).

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The Technology Development Studio of the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden offers hands-on courses to analyse high dimensional data stemming from images.

1.   Basic introduction into KNIME
2.   Data inspection, quality control, visualisation
3.   Scripting integration, HCS Tools
4.   Population analysis
5.   Normalization techniques
6.   Parameter selection strategies
7.   Dimension reduction
8.   Clustering methods

The course is aimed at people with with basic knowledge of statistics and larger data sets or high content screening data. Some experience with KNIME is helpful, but not mandatory. Programming skills are not necessary.
Participants should bring their own computer. All software is open source, instruction for installation will be sent ahead of the course.

For registration and further information please contact the TDS (tds-clinic@mpi-­cbg.de).