{"title":"MG2C：一个用户友好的绘制基因图谱的在线工具。","authors":"Jiangtao Chao, Zhiyuan Li, Yuhe Sun, Oluwaseun Olayemi Aluko, Xinru Wu, Qian Wang, Guanshan Liu","doi":"10.1186/s43897-021-00020-x","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":29970,"journal":{"name":"Molecular Horticulture","volume":null,"pages":null},"PeriodicalIF":10.6000,"publicationDate":"2021-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514940/pdf/","citationCount":"62","resultStr":"{\"title\":\"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\",\"doi\":\"10.1186/s43897-021-00020-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":29970,\"journal\":{\"name\":\"Molecular Horticulture\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":10.6000,\"publicationDate\":\"2021-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514940/pdf/\",\"citationCount\":\"62\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular Horticulture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s43897-021-00020-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HORTICULTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Horticulture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s43897-021-00020-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HORTICULTURE","Score":null,"Total":0}
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 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.
期刊介绍：
Aims
Molecular Horticulture aims to publish research and review articles that significantly advance our knowledge in understanding how the horticultural crops or their parts operate mechanistically. Articles should have profound impacts not only in terms of high citation number or the like, but more importantly on the direction of the horticultural research field.
Scope
Molecular Horticulture publishes original Research Articles, Letters, and Reviews on novel discoveries on the following, but not limited to, aspects of horticultural plants (including medicinal plants):
▪ Developmental and evolutionary biology
▪ Physiology, biochemistry and cell biology
▪ Plant-microbe and plant-environment interactions
▪ Genetics and epigenetics
▪ Molecular breeding and biotechnology
▪ Secondary metabolism and synthetic biology
▪ Multi-omics dealing with data sets of genome, transcriptome, proteome, metabolome, epigenome and/or microbiome.
The journal also welcomes research articles using model plants that reveal mechanisms and/or principles readily applicable to horticultural plants, translational research articles involving application of basic knowledge (including those of model plants) to the horticultural crops, novel Methods and Resources of broad interest.
In addition, the journal publishes Editorial, News and View, and Commentary and Perspective on current, significant events and topics in global horticultural fields with international interests.
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