The Comprehensive Systems Biology Project (CSB)
- A Comprehensive Systems-Biology Database -
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
About CSB.DB
The About CSB.DB page will give you a first insight into the Comprehensive Systems-Biology Database and provide some basic backgrounds about ideas and concepts of CSB.DB and the underlying comprehensive systems biology project.

To get information of your choice use the links listed below.
  • CSB Project: A short description of the comprehensive systems biology project.
  • CSB Resources: A first insight into CSB.DB as a resource for the science community.
  • CSB Future: An outlook about future directions of CSB.DB and the underlying CSB project.
CSB Project

The Comprehensive Systems Biology (CSB) Project get picture back to top

The main focus of the CSB project is the generation of new easily accessible knowledge about the relationship and the hierarchy of cellular components. Thus new progress towards understanding life’s complexity pyramid is made. For this aim statistical and computational algorithms are applied to organism specific data derived from publicly available multi-parallel technologies, currently such as expression profiles. The underlying data are derived from various research activities. Thus CSB project provides an integrated and centralised public resource allowing universal access on the generated knowledge – CSB.DB: A Comprehensive Systems-Biology Database. The derived knowledge should support the formulation of new hypotheses about the respective functional involvement of genes beyond their (inter-) relationships. Another major goal of the CSB project is to supply the researchers with necessary information to formulate these new hypotheses without demanding any a-priori statistical knowledge of the user. The CSB project mainly focuses on application of required statistical tests as well as to assist the user during exploration of results with information / help files to support hypothesis generation (get picture). Statistical background may help in result interpretation and to infer biological hypothesis, but is not necessary.
CSB Resource

CSB.DB: A Resource for the Science Community back to top

The enormous quantity of data produced by multi-parallel technologies, such as microarray analyses or metabolic profiling with e.g. Gas Chromatography - Mass Spectrometry (GC-MS) and the applied statistical analyses, poses the challenge for recirculation of the results to the whole biological community. The publicly available data are important resources for co-response analyses as well as other cross-experiment investigations. Moreover it is in the best interest of the science community that the statistical analyses on these data as well as the tools for analyses will be available to all. Therefore CSB.DB provides a public web interface for release of statistical analyses which are linked to current biological information and represent a gate to systems biology. The scientific community will be able to search and validate the statistical results by their own criterions of interest, whether by entities of interest, like gene pair correlation, or by organisms. The output can be defined by the user according to a set of categories and implemented query pages.
CSB Future

CSB: Future Directions back to top

Once The CSB.DB has met its immediate goals of providing a database that can be used by local and public researchers to retrieve biostatistical analyses of expression profile data, the CSB project will embark on some long-term goals. At first, we will explore methods to transfer the richness and data depths for e.g. Arabidopsis thaliana to other (plant) organisms. In this point of view, CSB.DB intends to be a fundamental data source within a platform for comparative systems biology. Moreover CSB.DB will improve the current data analyses to provide summarised results and visualised outputs for the public researchers. Beyond it, CSB.DB will extend the statistical analyses from expression level to metabolite and protein level as well as to development tools to integrate these different basic levels of cellular complexity.

For suggestions and questions feel free to contact the CSB.DB curator.
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