The Comprehensive Systems Biology Project (CSB)
csbdb CSB.DB (CSB.DB@MPIMP)
- A Comprehensive Systems-Biology Database -
mpimp
Hosted at Max Planck Institute of Molecular Plant Physiology
Databases: Associated DB | Transcriptome DB | Metabolome DB | Co-Response DB | BestFit
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NOTIFICATION: Permanent migration of all CSB.DB services and functionalities on 1.1.2016.
Herewith we inform you that all CSB.DB databases have been migrated at the beginning of 2016. This includes all gene correlation and expression databases, the GMD@CSB.DB module and all associated databases
The BestFit software, a tool for non-aqueous fractionation data analysis, will also be available by the Experimental Systems Biology Research Group headed by Dr. Patrick Giavalisco.
We thank all users, contributors, and collaborators of CSB.DB at the Max Planck Institute for their long-standing support.
Yours sincerely, the CSB.DB Curator and the CSB.DB Developmental Core Team
Help@CSB.DB: The CoRNetApplet
CoRNet
If you want to get help directly related to a page/query, use the Info Pages / Medium Info Pages. Direct links are available at each (Query) Page.

If you are completely lost, here is link to a short description of what CSB.DB is and is not. Enter this page.
CoRNetApplet - Shortcuts
To get information of your choice for the Co-Response Network Tool use the links listed below.
CoRNetApplet - Overview
Basic: The CoRNetApplet is a Web based tool to visualize co-responses and was programmed in Java. Make sure you have java version 1.4 or better installed (java download) and make sure you enabled java support for the internet. You can test it (incl. version) on Sun's Test Java Virtual Machine web page.

Here is a picture and a graphic based introduction into the functionality of the CoRNetApplet.
overview
CoRNetApplet - The Co-Response Network Tutorial

The Co-Response Network Tutorial back to top

Basic: The CoRNetApplet is a Web based tool to visualize co-responses and was programmed in Java. Make sure you have java version 1.4 or better installed (java download) and make sure you enabled java support for the internet. You can test it (incl. version) on Sun's Test Java Virtual Machine web page.

After executing a multi-gene query you will be presented with a network view of your selected genes similar as in this picture (press to enlarge).
start_network
Here you can see all your genes/transcripts displayed as red dots. They are connected by black lines if they are positively correlated and by yellow / orange lines if they are negatively correlated. Blue values indicate the actual correlation coefficient.
You can start the layout process by clicking on the blue cross (start) button and after some stability is reached you can press the red stop button and the current picture will freeze to be evaluated.
In order for better visualization you are presented with various filter options on the right side of the applet.

blue cross button: start blue cross button red button: stop red button
Edge valuesback to top
By choosing a different edge value factor (standard setting 100) you can zoom in (greater values) and out (smaller values) of your display area. The values forget, similarities and abs. similarities indicate if you want to consider the correlation coefficient as a distance value. If you do not want to do so, just leave forget checked, otherwise click similarities. In this case more similar genes will be closer to each other.

Distance filterback to top
With the distance filter you can limit what kind of correlations should be visualized in the display. If you e.g. wanted to see only positive correlations you would adjust the minimal distance to 0. After applying your filter criteria press the filter button for them to take effect (press to enlarge).

positive_only
Note that now all genes not positively correlated disappear. You can redisplay them by clicking the network button. In this case they will be grayed out to indicate that they do not fulfill your network criteria (see here).

filter button filter button network button network button

P-value filterback to top
Similar to the distance filter is the p-value filter, which you can check if you only want to layout significantly correlated genes at the 5 or 1% percent level. Again you have to press the filter button for the settings to take effect (see here).

Labelsback to top
If you want to get a better overview of you network graph you can uncheck the boxes 'Show node labels' and 'Show edge labels'. In the former case the description for the red dots (usually AGI gene code etc.) will not be displayed and in the latter case the distance measure on the graph edges (the correlation coefficient) will be removed.

For suggestions and questions feel free to contact the CSB.DB curator.
Requirements
Minimal resolution for optimal view: 1024x768 (without favorites)! Web browser of the sixth generation required, e.g. MS IE 6.0. Javascript must be enabled... more