SynergyFinder 3.0 : an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples

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Ianevski , A , Giri , A K & Aittokallio , T 2022 , ' SynergyFinder 3.0 : an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples ' , Nucleic Acids Research , vol. 50 , no. W1 , pp. W739-W743 . https://doi.org/10.1093/nar/gkac382

Title: SynergyFinder 3.0 : an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples
Author: Ianevski, Aleksandr; Giri, Anil K.; Aittokallio, Tero
Contributor organization: Computational Systems Medicine
Institute for Molecular Medicine Finland
Helsinki Institute of Life Science HiLIFE
Clinicum
University of Helsinki
Helsinki Institute for Information Technology
Tero Aittokallio / Principal Investigator
Bioinformatics
Date: 2022-07-05
Language: eng
Number of pages: 5
Belongs to series: Nucleic Acids Research
ISSN: 0305-1048
DOI: https://doi.org/10.1093/nar/gkac382
URI: http://hdl.handle.net/10138/345964
Abstract: 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] .
Subject: DRUG
COMBINATIONS
VISUALIZATION
113 Computer and information sciences
1182 Biochemistry, cell and molecular biology
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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