Code and data on the processing of the pulsed-field gel electrophoresis images: A matlab script

Here a matlab script was presented for lane tracking and band detection on the pulsed field gel electrophoresis (PFGE) images. It can also be used as a software tool for automatic analysis of PFGE images. The data consist of several MATLAB codes which collectively have the task of lane tracking, ban...

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Detalles Bibliográficos
Autores principales: Mohammadbeigi, Ahmad, Rezaei, Mohammad, Zohourian Sani, Naser, Soltani, Nemat, Mohajeri, Parviz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940661/
https://www.ncbi.nlm.nih.gov/pubmed/31909128
http://dx.doi.org/10.1016/j.dib.2019.105035
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author Mohammadbeigi, Ahmad
Rezaei, Mohammad
Zohourian Sani, Naser
Soltani, Nemat
Mohajeri, Parviz
author_facet Mohammadbeigi, Ahmad
Rezaei, Mohammad
Zohourian Sani, Naser
Soltani, Nemat
Mohajeri, Parviz
author_sort Mohammadbeigi, Ahmad
collection PubMed
description Here a matlab script was presented for lane tracking and band detection on the pulsed field gel electrophoresis (PFGE) images. It can also be used as a software tool for automatic analysis of PFGE images. The data consist of several MATLAB codes which collectively have the task of lane tracking, band detecting and pattern recognition on the PFGE images. The lane tracking stage is semi-automatic and the band detection stage is fully automatic. Finally, the pattern of lanes that includes number of, location, width and light intensity level of bands was obtained.
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spelling pubmed-69406612020-01-06 Code and data on the processing of the pulsed-field gel electrophoresis images: A matlab script Mohammadbeigi, Ahmad Rezaei, Mohammad Zohourian Sani, Naser Soltani, Nemat Mohajeri, Parviz Data Brief Computer Science Here a matlab script was presented for lane tracking and band detection on the pulsed field gel electrophoresis (PFGE) images. It can also be used as a software tool for automatic analysis of PFGE images. The data consist of several MATLAB codes which collectively have the task of lane tracking, band detecting and pattern recognition on the PFGE images. The lane tracking stage is semi-automatic and the band detection stage is fully automatic. Finally, the pattern of lanes that includes number of, location, width and light intensity level of bands was obtained. Elsevier 2019-12-20 /pmc/articles/PMC6940661/ /pubmed/31909128 http://dx.doi.org/10.1016/j.dib.2019.105035 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Computer Science
Mohammadbeigi, Ahmad
Rezaei, Mohammad
Zohourian Sani, Naser
Soltani, Nemat
Mohajeri, Parviz
Code and data on the processing of the pulsed-field gel electrophoresis images: A matlab script
title Code and data on the processing of the pulsed-field gel electrophoresis images: A matlab script
title_full Code and data on the processing of the pulsed-field gel electrophoresis images: A matlab script
title_fullStr Code and data on the processing of the pulsed-field gel electrophoresis images: A matlab script
title_full_unstemmed Code and data on the processing of the pulsed-field gel electrophoresis images: A matlab script
title_short Code and data on the processing of the pulsed-field gel electrophoresis images: A matlab script
title_sort code and data on the processing of the pulsed-field gel electrophoresis images: a matlab script
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940661/
https://www.ncbi.nlm.nih.gov/pubmed/31909128
http://dx.doi.org/10.1016/j.dib.2019.105035
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