Journal
NUCLEIC ACIDS RESEARCH
Volume 50, Issue W1, Pages W739-W743Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkac382
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Funding
- Academy of Finland [326238, 340141, 345803, 344698]
- European Union's Horizon 2020 Research and Innovation Programme [ERA PerMed JAKSTAT-TARGET project]
- Cancer Society of Finland
- Sigrid Juselius Foundation
- Maud Kuistila Memorial Foundation grant
- K. Albin Johanssons stiftelse sr Foundation
- Norwegian Cancer Society [216104]
- Fuugin foundation grant
- European Union's Horizon 2020 Research and Innovation Programme [CLL-CLUE project]
- Academy of Finland (AKA) [326238, 344698, 326238] Funding Source: Academy of Finland (AKA)
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SynergyFinder is a free web application that allows interactive analysis and visualization of multi-drug combination response data. The latest upgrade, SynergyFinder 3.0, introduces new features such as interactive multisample analysis of combination synergy, a novel consensus synergy score, and improved outlier detection functionality. These improvements enable robust identification of consistent combinatorial synergies.
SynergyFinder (https://synergyfinderfimm.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 multisample 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. [GRAPHICS] .
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