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SynergyFinder 2.0: visual analytics of multi-drug combination synergies

Authors :
Aleksandr Ianevski
Anil K. Giri
Tero Aittokallio
University of Helsinki
Department of Computer Science
Aalto-yliopisto
Aalto University
Computational Systems Medicine
Institute for Molecular Medicine Finland
Helsinki Institute of Life Science HiLIFE
Helsinki Institute for Information Technology
Tero Aittokallio / Principal Investigator
Bioinformatics
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.

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