- Title
- DRfit : A Java tool for the analysis of discrete data from multi-well plate assays
- Creator
- Hofmann, Andreas; Preston, Sarah; Cross, Megan; Herath, Dilrukshi; Simon, Anne; Gasser, Robin
- Date
- 2019
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/169206
- Identifier
- vital:13976
- Identifier
-
https://doi.org/10.1186/s12859-019-2891-5
- Identifier
- ISBN:1471-2105
- Abstract
- 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.
- Publisher
- BMC
- Relation
- BMC Bioinformatics Vol. 20, no. (2019), p. 1-6
- Rights
- http://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- 01 Mathematical Sciences; 06 Biological Sciences; 08 Information and Computing Sciences; Biochemical assays; Data analysis; Dose-response experiments; Drug discovery; Enzyme assays
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