DRfit: a Java tool for the analysis of discrete data from multi-well plate assays

Background Analyses of replicates in sets of discrete data, typically acquired in multi-well plate formats, is a recurring task in many contemporary areas in the Life Sciences. The availability of accessible cross-platform data analysis tools for such fundamental tasks in varied projects and environ...

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Vydáno v:BMC bioinformatics Ročník 20; číslo 1; s. 262 - 6
Hlavní autoři: Hofmann, Andreas, Preston, Sarah, Cross, Megan, Herath, H. M. P. Dilrukshi, Simon, Anne, Gasser, Robin B.
Médium: Journal Article
Jazyk:angličtina
Vydáno: London BioMed Central 21.05.2019
BioMed Central Ltd
Springer Nature B.V
BMC
Témata:
Algorithms
Assaying
Biochemical assays
Bioinformatics
Biological Science Disciplines
Biomedical and Life Sciences
Bivariate analysis
Computational Biology/Bioinformatics
Computer Appl. in Life Sciences
Computer programs
Data acquisition
Data analysis
Data Interpretation, Statistical
Data points
Design
Dose-response experiments
Drug discovery
Enzyme assays
Enzymes
Graphical user interface
Java (Programming language)
Laboratories
Life Sciences
Methods
Microarrays
Multivariate analysis
Pharmaceutical research
Response functions
Results and data
Scientific software
Software
Software development tools
Technology application
User interface
User-Computer Interface
France
Enzyme assays
Biochemical assays
Data analysis
Drug discovery
Dose-response experiments
ISSN:1471-2105, 1471-2105
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Shrnutí:Background Analyses of replicates in sets of discrete data, typically acquired in multi-well plate formats, is a recurring task in many contemporary areas in the Life Sciences. The availability of accessible cross-platform data analysis tools for such fundamental tasks in varied projects and environments is an important prerequisite to ensuring a reliable and timely turnaround as well as to provide practical analytical tools for student training. Results We have developed an easy-to-use, interactive software tool for the analysis of multiple data sets comprising replicates of discrete bivariate data points. For each dataset, the software identifies the replicate data points from a defined matrix layout and calculates their means and standard errors. The averaged values are then automatically fitted using either a linear or a logistic dose response function. Conclusions DRfit is a practical and convenient tool for the analysis of one or multiple sets of discrete data points acquired as replicates from multi-well plate assays. The design of the graphical user interface and the built-in analysis features make it a flexible and useful tool for a wide range of different assays.
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ISSN:1471-2105
1471-2105
DOI:10.1186/s12859-019-2891-5