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dc.contributor.authorHofmann, Andreas
dc.contributor.authorPreston, Sarah
dc.contributor.authorCross, Megan
dc.contributor.authorHerath, HMP Dilrukshi
dc.contributor.authorSimon, Anne
dc.contributor.authorGasser, Robin B
dc.date.accessioned2019-07-02T12:31:35Z
dc.date.available2019-07-02T12:31:35Z
dc.date.issued2019
dc.identifier.issn1471-2105
dc.identifier.doi10.1186/s12859-019-2891-5
dc.identifier.urihttp://hdl.handle.net/10072/385700
dc.description.abstractBackground: 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.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherBMC
dc.relation.ispartofjournalBMC BIOINFORMATICS
dc.relation.ispartofvolume20
dc.subject.fieldofresearchMathematical sciences
dc.subject.fieldofresearchBiological sciences
dc.subject.fieldofresearchcode49
dc.subject.fieldofresearchcode31
dc.titleDRfit: a Java tool for the analysis of discrete data from multi-well plate assays
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.description.versionVersion of Record (VoR)
gro.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.
gro.hasfulltextFull Text
gro.griffith.authorHofmann, Andreas
gro.griffith.authorCross, Megan O.


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