遗传 ›› 2015, Vol. 37 ›› Issue (1): 91-97.doi: 10.16288/j.yczz.2015.01.013

• 技术与方法 • 上一篇    下一篇

MapGene2Chrom基于Perl和SVG语言绘因物理图谱

晁江涛, 孔英珍, 王倩, 孙玉合, 龚达平, 吕婧, 刘贯山   

  1. 中国农业科学院烟草研究所,烟草行业烟草基因资源重点实验室,青岛 266101
  • 收稿日期:2014-06-24 修回日期:2014-08-06 出版日期:2015-01-20 发布日期:2015-01-20
  • 通讯作者: 刘贯山,研究员,研究方向:烟草突变体鉴定与利用。E-mail: liuguanshan@caas.cn E-mail:liuguanshan@caas.cn
  • 作者简介:晁江涛,硕士,助理研究员,研究方向:生物信息学。E-mail: chaojiangtao@caas.cn
  • 基金资助:
    中国烟草总公司科技重大专项(编号:110201301005[JY-05])项目资助

MapGene2Chrom, a tool to draw gene physical map based on Perl and SVG languages

Jiangtao Chao, Yingzhen Kong, Qian Wang, Yuhe Sun, Daping Gong, Jing Lv, Guanshan Liu   

  1. Key Laboratory for Tobacco Gene Resources, Tobacco Research Institute of Chinese Academy of Agricultural Sciences, Qingdao 266101, China
  • Received:2014-06-24 Revised:2014-08-06 Online:2015-01-20 Published:2015-01-20

摘要: 遗传图谱表现形式简洁明了,为分析遗传规律、克隆基因提供了便利。Gbrowse、MapViewer等工具虽然能够协助研究人员绘制相似形式的物理图谱,但有很大的局限性:(1)数据需提前布置好;(2)输出结果无法灵活修改。鉴于此,文章基于Perl和SVG语言,开发了一款生物辅助作图软件MapGene2Chrom的本地版与网页版,该软件能够依据输入数据快速绘制相应的物理图谱。该软件输入数据格式简单,输出结果易于修改,图片格式为SVG矢量图,具有很好的移植性,以期为研究人员绘制物理图谱提供便利。

关键词: 物理图谱, 基因分布图, SVG矢量图, 作图, 生物软件

Abstract: Genetic linkage map is helpful for analysis on heredity of some gene families and map-based gene cloning because of its simple and elegant manifestation. One software is in need to draw a gene physical map, which shows a manner similar to the genetic linkage map, based on the relative physical distance between genes. Although some tools like GBrowse and MapViewer etc. are available to draw gene physical map, there are obvious limitations for them: (1) the data need to be decorated in advance; (2) users can’t modify results. Therefore, we developed a bio-assisted mapping software——MapGene2Chrom with PC and web versions, which is based on Perl and SVG languages. The software can be used to draw the corresponding physical map quickly in SVG format based on the input data. It will become a useful tool for drawing gene physical map with the advantages of simple input data format, easily modified output and very good portability.

Key words: physical map, gene distribution map, SVG vector graph, draw map, bio-software