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IOCBIO Kinetics: An open-source software solution for analysis of data traces

Biological measurements frequently involve measuring parameters as a function of time, space, or frequency. Later, during the analysis phase of the study, the researcher splits the recorded data trace into smaller sections, analyzes each section separately by finding a mean or fitting against a spec...

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Autores principales: Vendelin, Marko, Laasmaa, Martin, Kalda, Mari, Branovets, Jelena, Karro, Niina, Barsunova, Karina, Birkedal, Rikke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787677/
https://www.ncbi.nlm.nih.gov/pubmed/33351800
http://dx.doi.org/10.1371/journal.pcbi.1008475
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author Vendelin, Marko
Laasmaa, Martin
Kalda, Mari
Branovets, Jelena
Karro, Niina
Barsunova, Karina
Birkedal, Rikke
author_facet Vendelin, Marko
Laasmaa, Martin
Kalda, Mari
Branovets, Jelena
Karro, Niina
Barsunova, Karina
Birkedal, Rikke
author_sort Vendelin, Marko
collection PubMed
description Biological measurements frequently involve measuring parameters as a function of time, space, or frequency. Later, during the analysis phase of the study, the researcher splits the recorded data trace into smaller sections, analyzes each section separately by finding a mean or fitting against a specified function, and uses the analysis results in the study. Here, we present the software that allows to analyze these data traces in a manner that ensures repeatability of the analysis and simplifies the application of FAIR (findability, accessibility, interoperability, and reusability) principles in such studies. At the same time, it simplifies the routine data analysis pipeline and gives access to a fast overview of the analysis results. For that, the software supports reading the raw data, processing the data as specified in the protocol, and storing all intermediate results in the laboratory database. The software can be extended by study- or hardware-specific modules to provide the required data import and analysis facilities. To simplify the development of the data entry web interfaces, that can be used to enter data describing the experiments, we released a web framework with an example implementation of such a site. The software is covered by open-source license and is available through several online channels.
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spelling pubmed-77876772021-01-14 IOCBIO Kinetics: An open-source software solution for analysis of data traces Vendelin, Marko Laasmaa, Martin Kalda, Mari Branovets, Jelena Karro, Niina Barsunova, Karina Birkedal, Rikke PLoS Comput Biol Research Article Biological measurements frequently involve measuring parameters as a function of time, space, or frequency. Later, during the analysis phase of the study, the researcher splits the recorded data trace into smaller sections, analyzes each section separately by finding a mean or fitting against a specified function, and uses the analysis results in the study. Here, we present the software that allows to analyze these data traces in a manner that ensures repeatability of the analysis and simplifies the application of FAIR (findability, accessibility, interoperability, and reusability) principles in such studies. At the same time, it simplifies the routine data analysis pipeline and gives access to a fast overview of the analysis results. For that, the software supports reading the raw data, processing the data as specified in the protocol, and storing all intermediate results in the laboratory database. The software can be extended by study- or hardware-specific modules to provide the required data import and analysis facilities. To simplify the development of the data entry web interfaces, that can be used to enter data describing the experiments, we released a web framework with an example implementation of such a site. The software is covered by open-source license and is available through several online channels. Public Library of Science 2020-12-22 /pmc/articles/PMC7787677/ /pubmed/33351800 http://dx.doi.org/10.1371/journal.pcbi.1008475 Text en © 2020 Vendelin et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Vendelin, Marko
Laasmaa, Martin
Kalda, Mari
Branovets, Jelena
Karro, Niina
Barsunova, Karina
Birkedal, Rikke
IOCBIO Kinetics: An open-source software solution for analysis of data traces
title IOCBIO Kinetics: An open-source software solution for analysis of data traces
title_full IOCBIO Kinetics: An open-source software solution for analysis of data traces
title_fullStr IOCBIO Kinetics: An open-source software solution for analysis of data traces
title_full_unstemmed IOCBIO Kinetics: An open-source software solution for analysis of data traces
title_short IOCBIO Kinetics: An open-source software solution for analysis of data traces
title_sort iocbio kinetics: an open-source software solution for analysis of data traces
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787677/
https://www.ncbi.nlm.nih.gov/pubmed/33351800
http://dx.doi.org/10.1371/journal.pcbi.1008475
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