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MG2C: a user-friendly online tool for drawing genetic maps

Authors :
Jiangtao Chao
Zhiyuan Li
Yuhe Sun
Oluwaseun Olayemi Aluko
Xinru Wu
Qian Wang
Guanshan Liu
Source :
Molecular Horticulture, Vol 1, Iss 1, Pp 1-4 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
27309401
Volume :
1
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Molecular Horticulture
Publication Type :
Academic Journal
Accession number :
edsdoj.2f3dbf33db54d6eb2b346e63f1f411c
Document Type :
article
Full Text :
https://doi.org/10.1186/s43897-021-00020-x