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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7267830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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