PREdator: a python based GUI for data analysis, evaluation and fitting

The analysis of a series of experimental data is an essential procedure in virtually every field of research. The information contained in the data is extracted by fitting the experimental data to a mathematical model. The type of the mathematical model (linear, exponential, logarithmic, etc.) refle...

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Detalles Bibliográficos
Autores principales: Wiedemann, Christoph, Bellstedt, Peter, Görlach, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Software Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179214/
http://dx.doi.org/10.1186/1751-0473-9-21
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author Wiedemann, Christoph
Bellstedt, Peter
Görlach, Matthias
author_facet Wiedemann, Christoph
Bellstedt, Peter
Görlach, Matthias
author_sort Wiedemann, Christoph
collection PubMed
description The analysis of a series of experimental data is an essential procedure in virtually every field of research. The information contained in the data is extracted by fitting the experimental data to a mathematical model. The type of the mathematical model (linear, exponential, logarithmic, etc.) reflects the physical laws that underlie the experimental data. Here, we aim to provide a readily accessible, user-friendly python script for data analysis, evaluation and fitting. PREdator is presented at the example of NMR paramagnetic relaxation enhancement analysis.
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spelling pubmed-41792142014-10-23 PREdator: a python based GUI for data analysis, evaluation and fitting Wiedemann, Christoph Bellstedt, Peter Görlach, Matthias Source Code Biol Med Software Review The analysis of a series of experimental data is an essential procedure in virtually every field of research. The information contained in the data is extracted by fitting the experimental data to a mathematical model. The type of the mathematical model (linear, exponential, logarithmic, etc.) reflects the physical laws that underlie the experimental data. Here, we aim to provide a readily accessible, user-friendly python script for data analysis, evaluation and fitting. PREdator is presented at the example of NMR paramagnetic relaxation enhancement analysis. BioMed Central 2014-09-24 /pmc/articles/PMC4179214/ http://dx.doi.org/10.1186/1751-0473-9-21 Text en Copyright © 2014 Wiedemann et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Review
Wiedemann, Christoph
Bellstedt, Peter
Görlach, Matthias
PREdator: a python based GUI for data analysis, evaluation and fitting
title PREdator: a python based GUI for data analysis, evaluation and fitting
title_full PREdator: a python based GUI for data analysis, evaluation and fitting
title_fullStr PREdator: a python based GUI for data analysis, evaluation and fitting
title_full_unstemmed PREdator: a python based GUI for data analysis, evaluation and fitting
title_short PREdator: a python based GUI for data analysis, evaluation and fitting
title_sort predator: a python based gui for data analysis, evaluation and fitting
topic Software Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179214/
http://dx.doi.org/10.1186/1751-0473-9-21
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