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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...

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Detalles Bibliográficos
Autores principales: Ianevski, Aleksandr, Giri, Anil K, Aittokallio, Tero
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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.
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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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