Breeze: An integrated quality control and data analysis application for high-throughput drug screening

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openAccess

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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Date

2020-06-01

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Department of Computer Science

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Language

en

Pages

3
3602-3604

Series

Bioinformatics, Volume 36, issue 11

Abstract

High-throughput screening (HTS) enables systematic testing of thousands of chemical compounds for potential use as investigational and therapeutic agents. HTS experiments are often conducted in multi-well plates that inherently bear technical and experimental sources of error. Thus, HTS data processing requires the use of robust quality control procedures before analysis and interpretation. Here, we have implemented an open-source analysis application, Breeze, an integrated quality control and data analysis application for HTS data. Furthermore, Breeze enables a reliable way to identify individual drug sensitivity and resistance patterns in cell lines or patient-derived samples for functional precision medicine applications. The Breeze application provides a complete solution for data quality assessment, dose-response curve fitting and quantification of the drug responses along with interactive visualization of the results. Contact: swapnil.potdar@helsinki.fi

Description

Funding Information: The FIMM High-Throughput Biomedicine Unit is financially supported by the University of Helsinki and Biocenter Finland. The work has received funding from the Sigrid Juselius Foundation, Cancer Society of Finland, Academy of Finland [292611, 326238 and 310507 to T.A.], the Magnus Ehrnrooth Foundation, Biocentrum Helsinki and St. Baldrick’s Foundation. Publisher Copyright: © 2020 The Author(s) 2020. Published by Oxford University Press.

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Citation

Potdar, S, Ianevski, A, Mpindi, J P, Bychkov, D, Fiere, C, Ianevski, P, Yadav, B, Wennerberg, K, Aittokallio, T, Kallioniemi, O, Saarela, J & Östling, P 2020, ' Breeze : An integrated quality control and data analysis application for high-throughput drug screening ', Bioinformatics, vol. 36, no. 11, pp. 3602-3604 . https://doi.org/10.1093/bioinformatics/btaa138