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SynergyFinder 2.0: visual analytics of multi-drug combination synergies
SynergyFinder (https://synergyfinder.fimm.fi) is a stand-alone web-application for interactive analysis and visualization of drug combination screening data. Since its first release in 2017, SynergyFinder has become a widely used web-tool both for the discovery of novel synergistic drug combinations...
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/PMC7319457/ https://www.ncbi.nlm.nih.gov/pubmed/32246720 http://dx.doi.org/10.1093/nar/gkaa216 |
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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 stand-alone web-application for interactive analysis and visualization of drug combination screening data. Since its first release in 2017, SynergyFinder has become a widely used web-tool both for the discovery of novel synergistic drug combinations in pre-clinical model systems (e.g. cell lines or primary patient-derived cells), and for better understanding of mechanisms of combination treatment efficacy or resistance. Here, we describe the latest version of SynergyFinder (release 2.0), which has extensively been upgraded through the addition of novel features supporting especially higher-order combination data analytics and exploratory visualization of multi-drug synergy patterns, along with automated outlier detection procedure, extended curve-fitting functionality and statistical analysis of replicate measurements. A number of additional improvements were also implemented based on the user requests, including new visualization and export options, updated user interface, as well as enhanced stability and performance of the web-tool. With these improvements, SynergyFinder 2.0 is expected to greatly extend its potential applications in various areas of multi-drug combinatorial screening and precision medicine. |
format | Online Article Text |
id | pubmed-7319457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73194572020-07-01 SynergyFinder 2.0: visual analytics of multi-drug combination synergies Ianevski, Aleksandr Giri, Anil K Aittokallio, Tero Nucleic Acids Res Web Server Issue SynergyFinder (https://synergyfinder.fimm.fi) is a stand-alone web-application for interactive analysis and visualization of drug combination screening data. Since its first release in 2017, SynergyFinder has become a widely used web-tool both for the discovery of novel synergistic drug combinations in pre-clinical model systems (e.g. cell lines or primary patient-derived cells), and for better understanding of mechanisms of combination treatment efficacy or resistance. Here, we describe the latest version of SynergyFinder (release 2.0), which has extensively been upgraded through the addition of novel features supporting especially higher-order combination data analytics and exploratory visualization of multi-drug synergy patterns, along with automated outlier detection procedure, extended curve-fitting functionality and statistical analysis of replicate measurements. A number of additional improvements were also implemented based on the user requests, including new visualization and export options, updated user interface, as well as enhanced stability and performance of the web-tool. With these improvements, SynergyFinder 2.0 is expected to greatly extend its potential applications in various areas of multi-drug combinatorial screening and precision medicine. Oxford University Press 2020-07-02 2020-04-04 /pmc/articles/PMC7319457/ /pubmed/32246720 http://dx.doi.org/10.1093/nar/gkaa216 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://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 2.0: visual analytics of multi-drug combination synergies |
title | SynergyFinder 2.0: visual analytics of multi-drug combination synergies |
title_full | SynergyFinder 2.0: visual analytics of multi-drug combination synergies |
title_fullStr | SynergyFinder 2.0: visual analytics of multi-drug combination synergies |
title_full_unstemmed | SynergyFinder 2.0: visual analytics of multi-drug combination synergies |
title_short | SynergyFinder 2.0: visual analytics of multi-drug combination synergies |
title_sort | synergyfinder 2.0: visual analytics of multi-drug combination synergies |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319457/ https://www.ncbi.nlm.nih.gov/pubmed/32246720 http://dx.doi.org/10.1093/nar/gkaa216 |
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