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

SUMMARY: 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 dat...

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Autores principales: Potdar, Swapnil, Ianevski, Aleksandr, Mpindi, John-Patrick, Bychkov, Dmitrii, Fiere, Clément, Ianevski, Philipp, Yadav, Bhagwan, Wennerberg, Krister, Aittokallio, Tero, Kallioniemi, Olli, Saarela, Jani, Östling, Päivi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267830/
https://www.ncbi.nlm.nih.gov/pubmed/32119072
http://dx.doi.org/10.1093/bioinformatics/btaa138
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author Potdar, Swapnil
Ianevski, Aleksandr
Mpindi, John-Patrick
Bychkov, Dmitrii
Fiere, Clément
Ianevski, Philipp
Yadav, Bhagwan
Wennerberg, Krister
Aittokallio, Tero
Kallioniemi, Olli
Saarela, Jani
Östling, Päivi
author_facet Potdar, Swapnil
Ianevski, Aleksandr
Mpindi, John-Patrick
Bychkov, Dmitrii
Fiere, Clément
Ianevski, Philipp
Yadav, Bhagwan
Wennerberg, Krister
Aittokallio, Tero
Kallioniemi, Olli
Saarela, Jani
Östling, Päivi
author_sort Potdar, Swapnil
collection PubMed
description SUMMARY: 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. AVAILABILITY AND IMPLEMENTATION: The Breeze application with video tutorial and technical documentation is accessible at https://breeze.fimm.fi; the R source code is publicly available at https://github.com/potdarswapnil/Breeze under GNU General Public License v3.0. CONTACT: swapnil.potdar@helsinki.fi SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-72678302020-06-09 Breeze: an integrated quality control and data analysis application for high-throughput drug screening Potdar, Swapnil Ianevski, Aleksandr Mpindi, John-Patrick Bychkov, Dmitrii Fiere, Clément Ianevski, Philipp Yadav, Bhagwan Wennerberg, Krister Aittokallio, Tero Kallioniemi, Olli Saarela, Jani Östling, Päivi Bioinformatics Applications Notes SUMMARY: 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. AVAILABILITY AND IMPLEMENTATION: The Breeze application with video tutorial and technical documentation is accessible at https://breeze.fimm.fi; the R source code is publicly available at https://github.com/potdarswapnil/Breeze under GNU General Public License v3.0. CONTACT: swapnil.potdar@helsinki.fi SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-06 2020-03-02 /pmc/articles/PMC7267830/ /pubmed/32119072 http://dx.doi.org/10.1093/bioinformatics/btaa138 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Potdar, Swapnil
Ianevski, Aleksandr
Mpindi, John-Patrick
Bychkov, Dmitrii
Fiere, Clément
Ianevski, Philipp
Yadav, Bhagwan
Wennerberg, Krister
Aittokallio, Tero
Kallioniemi, Olli
Saarela, Jani
Östling, Päivi
Breeze: an integrated quality control and data analysis application for high-throughput drug screening
title Breeze: an integrated quality control and data analysis application for high-throughput drug screening
title_full Breeze: an integrated quality control and data analysis application for high-throughput drug screening
title_fullStr Breeze: an integrated quality control and data analysis application for high-throughput drug screening
title_full_unstemmed Breeze: an integrated quality control and data analysis application for high-throughput drug screening
title_short Breeze: an integrated quality control and data analysis application for high-throughput drug screening
title_sort breeze: an integrated quality control and data analysis application for high-throughput drug screening
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267830/
https://www.ncbi.nlm.nih.gov/pubmed/32119072
http://dx.doi.org/10.1093/bioinformatics/btaa138
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