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DoRes within CellMissy: dose-response analysis on cell migration and related data

SUMMARY: In cancer research, cell-based assays are used to assess cell migration and invasion. The major bottleneck is the lack of automated tools to visualize and analyse the large amounts of biological dose-response data produced. To address this challenge, we have developed an automated and free...

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Autores principales: Sergeant, Gwendolien, Martens, Lennart, Van Troys, Marleen, Masuzzo, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378935/
https://www.ncbi.nlm.nih.gov/pubmed/30052834
http://dx.doi.org/10.1093/bioinformatics/bty634
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author Sergeant, Gwendolien
Martens, Lennart
Van Troys, Marleen
Masuzzo, Paola
author_facet Sergeant, Gwendolien
Martens, Lennart
Van Troys, Marleen
Masuzzo, Paola
author_sort Sergeant, Gwendolien
collection PubMed
description SUMMARY: In cancer research, cell-based assays are used to assess cell migration and invasion. The major bottleneck is the lack of automated tools to visualize and analyse the large amounts of biological dose-response data produced. To address this challenge, we have developed an automated and free software package for dose-response analyses, DoRes, which is released as an add-on of the freely available and open-source tool CellMissy, dedicated to the management and analysis of cell migration data. DoRes implements non-linear curve fitting functionality into a robust, user-friendly and flexible software package with the possibility of importing a tabular file or starting from a cell migration experiment. We demonstrate the ability of the software by analysing public dose-response data and a typical cell migration experiment, and show that the extracted dose-response parameters and the calculated statistical values are consistently comparable to those of the widely used, commercial software GraphPad Prism. AVAILABILITY AND IMPLEMENTATION: The software here presented is a new module in CellMissy, an open-source and cross-platform package dedicated to the management, storage and analysis of cell migration data. The new module is written in Java, and inherits the cross-platform support from CellMissy. Source code and binaries are freely available under the Apache2 open-source licence at https://github.com/compomics/cellmissy/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-63789352019-02-22 DoRes within CellMissy: dose-response analysis on cell migration and related data Sergeant, Gwendolien Martens, Lennart Van Troys, Marleen Masuzzo, Paola Bioinformatics Applications Notes SUMMARY: In cancer research, cell-based assays are used to assess cell migration and invasion. The major bottleneck is the lack of automated tools to visualize and analyse the large amounts of biological dose-response data produced. To address this challenge, we have developed an automated and free software package for dose-response analyses, DoRes, which is released as an add-on of the freely available and open-source tool CellMissy, dedicated to the management and analysis of cell migration data. DoRes implements non-linear curve fitting functionality into a robust, user-friendly and flexible software package with the possibility of importing a tabular file or starting from a cell migration experiment. We demonstrate the ability of the software by analysing public dose-response data and a typical cell migration experiment, and show that the extracted dose-response parameters and the calculated statistical values are consistently comparable to those of the widely used, commercial software GraphPad Prism. AVAILABILITY AND IMPLEMENTATION: The software here presented is a new module in CellMissy, an open-source and cross-platform package dedicated to the management, storage and analysis of cell migration data. The new module is written in Java, and inherits the cross-platform support from CellMissy. Source code and binaries are freely available under the Apache2 open-source licence at https://github.com/compomics/cellmissy/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-02-15 2018-07-25 /pmc/articles/PMC6378935/ /pubmed/30052834 http://dx.doi.org/10.1093/bioinformatics/bty634 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Sergeant, Gwendolien
Martens, Lennart
Van Troys, Marleen
Masuzzo, Paola
DoRes within CellMissy: dose-response analysis on cell migration and related data
title DoRes within CellMissy: dose-response analysis on cell migration and related data
title_full DoRes within CellMissy: dose-response analysis on cell migration and related data
title_fullStr DoRes within CellMissy: dose-response analysis on cell migration and related data
title_full_unstemmed DoRes within CellMissy: dose-response analysis on cell migration and related data
title_short DoRes within CellMissy: dose-response analysis on cell migration and related data
title_sort dores within cellmissy: dose-response analysis on cell migration and related data
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378935/
https://www.ncbi.nlm.nih.gov/pubmed/30052834
http://dx.doi.org/10.1093/bioinformatics/bty634
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