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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 enviro...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528253/ https://www.ncbi.nlm.nih.gov/pubmed/31113359 http://dx.doi.org/10.1186/s12859-019-2891-5 |
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author | Hofmann, Andreas Preston, Sarah Cross, Megan Herath, H. M. P. Dilrukshi Simon, Anne Gasser, Robin B. |
author_facet | Hofmann, Andreas Preston, Sarah Cross, Megan Herath, H. M. P. Dilrukshi Simon, Anne Gasser, Robin B. |
author_sort | Hofmann, Andreas |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2891-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6528253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65282532019-05-28 DRfit: a Java tool for the analysis of discrete data from multi-well plate assays Hofmann, Andreas Preston, Sarah Cross, Megan Herath, H. M. P. Dilrukshi Simon, Anne Gasser, Robin B. BMC Bioinformatics Software 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2891-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-21 /pmc/articles/PMC6528253/ /pubmed/31113359 http://dx.doi.org/10.1186/s12859-019-2891-5 Text en © The Author(s). 2019 Open AccessThis 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. |
spellingShingle | Software Hofmann, Andreas Preston, Sarah Cross, Megan Herath, H. M. P. Dilrukshi Simon, Anne Gasser, Robin B. DRfit: a Java tool for the analysis of discrete data from multi-well plate assays |
title | DRfit: a Java tool for the analysis of discrete data from multi-well plate assays |
title_full | DRfit: a Java tool for the analysis of discrete data from multi-well plate assays |
title_fullStr | DRfit: a Java tool for the analysis of discrete data from multi-well plate assays |
title_full_unstemmed | DRfit: a Java tool for the analysis of discrete data from multi-well plate assays |
title_short | DRfit: a Java tool for the analysis of discrete data from multi-well plate assays |
title_sort | drfit: a java tool for the analysis of discrete data from multi-well plate assays |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528253/ https://www.ncbi.nlm.nih.gov/pubmed/31113359 http://dx.doi.org/10.1186/s12859-019-2891-5 |
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