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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7787677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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