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SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples
SynergyFinder (https://synergyfinder.fimm.fi) is a free web-application for interactive analysis and visualization of multi-drug combination response data. Since its first release in 2017, SynergyFinder has become a popular tool for multi-dose combination data analytics, partly because the developme...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252834/ https://www.ncbi.nlm.nih.gov/pubmed/35580060 http://dx.doi.org/10.1093/nar/gkac382 |
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author | Ianevski, Aleksandr Giri, Anil K Aittokallio, Tero |
author_facet | Ianevski, Aleksandr Giri, Anil K Aittokallio, Tero |
author_sort | Ianevski, Aleksandr |
collection | PubMed |
description | SynergyFinder (https://synergyfinder.fimm.fi) is a free web-application for interactive analysis and visualization of multi-drug combination response data. Since its first release in 2017, SynergyFinder has become a popular tool for multi-dose combination data analytics, partly because the development of its functionality and graphical interface has been driven by a diverse user community, including both chemical biologists and computational scientists. Here, we describe the latest upgrade of this community-effort, SynergyFinder release 3.0, introducing a number of novel features that support interactive multi-sample analysis of combination synergy, a novel consensus synergy score that combines multiple synergy scoring models, and an improved outlier detection functionality that eliminates false positive results, along with many other post-analysis options such as weighting of synergy by drug concentrations and distinguishing between different modes of synergy (potency and efficacy). Based on user requests, several additional improvements were also implemented, including new data visualizations and export options for multi-drug combinations. With these improvements, SynergyFinder 3.0 supports robust identification of consistent combinatorial synergies for multi-drug combinatorial discovery and clinical translation. |
format | Online Article Text |
id | pubmed-9252834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92528342022-07-05 SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples Ianevski, Aleksandr Giri, Anil K Aittokallio, Tero Nucleic Acids Res Web Server Issue SynergyFinder (https://synergyfinder.fimm.fi) is a free web-application for interactive analysis and visualization of multi-drug combination response data. Since its first release in 2017, SynergyFinder has become a popular tool for multi-dose combination data analytics, partly because the development of its functionality and graphical interface has been driven by a diverse user community, including both chemical biologists and computational scientists. Here, we describe the latest upgrade of this community-effort, SynergyFinder release 3.0, introducing a number of novel features that support interactive multi-sample analysis of combination synergy, a novel consensus synergy score that combines multiple synergy scoring models, and an improved outlier detection functionality that eliminates false positive results, along with many other post-analysis options such as weighting of synergy by drug concentrations and distinguishing between different modes of synergy (potency and efficacy). Based on user requests, several additional improvements were also implemented, including new data visualizations and export options for multi-drug combinations. With these improvements, SynergyFinder 3.0 supports robust identification of consistent combinatorial synergies for multi-drug combinatorial discovery and clinical translation. Oxford University Press 2022-05-17 /pmc/articles/PMC9252834/ /pubmed/35580060 http://dx.doi.org/10.1093/nar/gkac382 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Web Server Issue Ianevski, Aleksandr Giri, Anil K Aittokallio, Tero SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples |
title | SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples |
title_full | SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples |
title_fullStr | SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples |
title_full_unstemmed | SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples |
title_short | SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples |
title_sort | synergyfinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252834/ https://www.ncbi.nlm.nih.gov/pubmed/35580060 http://dx.doi.org/10.1093/nar/gkac382 |
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