Impact of high-throughput screening in biomedical research

@article{Macarrn2011ImpactOH,
  title={Impact of high-throughput screening in biomedical research},
  author={Ricardo Macarr{\'o}n and Martyn N. Banks and Dejan Bojanic and David J. Burns and Dragan A. Cirovic and Tina Garyantes and Darren V. S. Green and Robert P. Hertzberg and William P. Janzen and Jeff W. Paslay and Ulrich Schopfer and G. Sitta Sittampalam},
  journal={Nature Reviews Drug Discovery},
  year={2011},
  volume={10},
  pages={188-195}
}
High-throughput screening (HTS) has been postulated in several quarters to be a contributory factor to the decline in productivity in the pharmaceutical industry. Moreover, it has been blamed for stifling the creativity that drug discovery demands. In this article, we aim to dispel these myths and present the case for the use of HTS as part of a proven scientific tool kit, the wider use of which is essential for the discovery of new chemotypes. 

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Phenotypic screenings became the methods of choice for drug discovery for decades because of the ease of application, simplicity and rapid findings of such methods.

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This work examines statistical and computational considerations for secondary analysis of publicly available high throughput screening data with respect to metadata, data quality, and completeness and develops methods and best practices that can help to ameliorate these issues.

High-Throughput Cell Toxicity Assays.

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