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SynergyFinder 2.0: visual analytics of multi-drug combination synergies
- Source :
- Nucleic Acids Research
- Publication Year :
- 2020
- Publisher :
- Oxford University Press (OUP), 2020.
-
Abstract
- Funding Information: Academy of Finland [292611, 310507, 313267, 326238 to T.A.]; Cancer Society of Finland [to T.A.]; Sigrid Jus?lius Foundation [to TA]. Funding for open access charge: European Union's Horizon 2020 Research and Innovation Programme [ERA PerMed JAKSTAT-TARGET project]. Funding Information: Academy of Finland [292611, 310507, 313267, 326238 to T.A.]; Cancer Society of Finland [to T.A.]; Sigrid Jusélius Foundation [to TA]. Funding for open access charge: European Union’s Horizon 2020 Research and Innovation Programme [ERA PerMed JAKSTAT-TARGET project]. Conflict of interest statement. None declared. Publisher Copyright: © The Author(s) 2020. 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.
- Subjects :
- Visual analytics
AcademicSubjects/SCI00010
RESISTANT
Biology
Machine learning
computer.software_genre
Computer graphics
03 medical and health sciences
0302 clinical medicine
Software
Computer Graphics
Genetics
030304 developmental biology
0303 health sciences
business.industry
Drug Synergism
Precision medicine
3. Good health
Visualization
030220 oncology & carcinogenesis
Web Server Issue
Data analysis
1182 Biochemistry, cell and molecular biology
Drug Therapy, Combination
Anomaly detection
Artificial intelligence
User interface
business
computer
Subjects
Details
- ISSN :
- 13624962 and 03051048
- Volume :
- 48
- Database :
- OpenAIRE
- Journal :
- Nucleic Acids Research
- Accession number :
- edsair.doi.dedup.....183921b82f208f1f3aa7d539ba1a42bc
- Full Text :
- https://doi.org/10.1093/nar/gkaa216