Towards a comprehensive open source platform for management and analysis of High Content Screening data

As High Content Screening (HCS) has moved into the main stream for biological and pharmaceutical investigations, a lag of well integrated pipelines for automated acquisition, management and analysis of HCS results turns out to be a bottleneck for fully leveraging the wealth of information contained in a screen and moving to higher throughput. For many applications, monolithic pipelines can not deliver the flexibility and versatility needed. Laboratories and scientific service providers instead usually look into integrating components from both, the open source world and the commercial software world into best-of-breed data pipelines. In this article, we will present two open source components that can be used as flexible and powerful building blocks for such a pipeline. Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-38742 Originally published at: Kozak, K; Bauch, A; Pylak, T; Rinn, B (2010). Towards a comprehensive open source platform for management and analysis of High Content Screening data. European Pharmaceutical Review, 4:34-38. Towards a comprehensive open source platform for management and analysis of High Content Screening data Karol Kozak* Angela Bauch*,Gabor Csucs, Tomasz Pylak & Bernd Rinn 1 LMC-RISC, ETH Zurich 2 C-ISD, D-BSSE, ETH Zurich *equal contribution