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MG2C: a user-friendly online tool for drawing genetic maps
Genetic map is a linear arrangement of the relative positions of sites in the chromosome or genome based on the recombination frequency between genetic markers. It is the important basis for genetic analysis. Several kinds of software have been designed for genetic mapping, but all these tools requi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514940/ https://www.ncbi.nlm.nih.gov/pubmed/37789491 http://dx.doi.org/10.1186/s43897-021-00020-x |
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author | Chao, Jiangtao Li, Zhiyuan Sun, Yuhe Aluko, Oluwaseun Olayemi Wu, Xinru Wang, Qian Liu, Guanshan |
author_facet | Chao, Jiangtao Li, Zhiyuan Sun, Yuhe Aluko, Oluwaseun Olayemi Wu, Xinru Wang, Qian Liu, Guanshan |
author_sort | Chao, Jiangtao |
collection | PubMed |
description | Genetic map is a linear arrangement of the relative positions of sites in the chromosome or genome based on the recombination frequency between genetic markers. It is the important basis for genetic analysis. Several kinds of software have been designed for genetic mapping, but all these tools require users to write or edit code, making it time-costing and difficult for researchers without programming skills to handle with. Here, MG2C, a new online tool was designed, based on PERL and SVG languages. Users can get a standard genetic map, only by providing the location of genes (or quantitative trait loci) and the length of the chromosome, without writing additional code. The operation interface of MG2C contains three sections: data input, data output and parameters. There are 33 attribute parameters in MG2C, which are further divided into 8 modules. Values of the parameters can be changed according to the users’ requirements. The information submitted by users will be transformed into the genetic map in SVG file, which can be further modified by other image processing tools. MG2C is a user-friendly and time-saving online tool for drawing genetic maps, especially for those without programming skills. The tool has been running smoothly since 2015, and updated to version 2.1. It significantly lowers the technical barriers for the users, and provides great convenience for the researchers. |
format | Online Article Text |
id | pubmed-10514940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105149402023-09-27 MG2C: a user-friendly online tool for drawing genetic maps Chao, Jiangtao Li, Zhiyuan Sun, Yuhe Aluko, Oluwaseun Olayemi Wu, Xinru Wang, Qian Liu, Guanshan Mol Hortic Letter Genetic map is a linear arrangement of the relative positions of sites in the chromosome or genome based on the recombination frequency between genetic markers. It is the important basis for genetic analysis. Several kinds of software have been designed for genetic mapping, but all these tools require users to write or edit code, making it time-costing and difficult for researchers without programming skills to handle with. Here, MG2C, a new online tool was designed, based on PERL and SVG languages. Users can get a standard genetic map, only by providing the location of genes (or quantitative trait loci) and the length of the chromosome, without writing additional code. The operation interface of MG2C contains three sections: data input, data output and parameters. There are 33 attribute parameters in MG2C, which are further divided into 8 modules. Values of the parameters can be changed according to the users’ requirements. The information submitted by users will be transformed into the genetic map in SVG file, which can be further modified by other image processing tools. MG2C is a user-friendly and time-saving online tool for drawing genetic maps, especially for those without programming skills. The tool has been running smoothly since 2015, and updated to version 2.1. It significantly lowers the technical barriers for the users, and provides great convenience for the researchers. BioMed Central 2021-12-09 /pmc/articles/PMC10514940/ /pubmed/37789491 http://dx.doi.org/10.1186/s43897-021-00020-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Letter Chao, Jiangtao Li, Zhiyuan Sun, Yuhe Aluko, Oluwaseun Olayemi Wu, Xinru Wang, Qian Liu, Guanshan MG2C: a user-friendly online tool for drawing genetic maps |
title | MG2C: a user-friendly online tool for drawing genetic maps |
title_full | MG2C: a user-friendly online tool for drawing genetic maps |
title_fullStr | MG2C: a user-friendly online tool for drawing genetic maps |
title_full_unstemmed | MG2C: a user-friendly online tool for drawing genetic maps |
title_short | MG2C: a user-friendly online tool for drawing genetic maps |
title_sort | mg2c: a user-friendly online tool for drawing genetic maps |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514940/ https://www.ncbi.nlm.nih.gov/pubmed/37789491 http://dx.doi.org/10.1186/s43897-021-00020-x |
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