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


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.

Abstract

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.

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.

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Additional indexing

Item Type:Journal Article, not refereed, original work
Communities & Collections:Special Collections > SystemsX.ch
Special Collections > SystemsX.ch > Systems Biology IT
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:August 2010
Deposited On:03 Dec 2010 08:33
Last Modified:05 Apr 2016 14:25
Publisher:Russell Publishing Limited
Official URL:http://www.europeanpharmaceuticalreview.com/
Permanent URL: http://doi.org/10.5167/uzh-38742

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