摘要
指出了在生命科学领域,非模式生物具有越来越重要的地位,对非模式生物的研究大幅拓宽了生命科学研究的广度,促进发现更多新的科学问题,弥补模式生物在研究中的不足之处。传统的转录组分析存在流程操作复杂、工作效率低、入门门槛高等问题。基于Snakemake的转录组分析框架,能够运用数据标签批量处理多个数据,无需使用者多次设置参数,大大提高了工作效率。利用Snakemake初步搭建转录组分析框架,在野生型和FUL基因型番茄样品的RNA-Seq转录本数据进行测试。本研究工作为非计算机背景的研究人员进行转录组分析提供了方便,对相关转录组数据分析研究具有一定参考意义。
The study of non-model organisms can promote the further development of life sciences and make up the shortcomings of model organisms.The study of non-model organisms has broadened the breadth of life science research.There are many shortcomings in the traditional transcriptome analysis,such as complicated operation processes,low work efficiency and so on.Based on Snakemake's transcriptome analysis framework,data tags can be used to batch process multiple data,eliminating the need for users to set parameters multiple times,greatly improving work efficiency.In this paper,the Snakemake transcriptome analysis framework was tested.The transcriptome data of two types of tomato(wild type and FUL genotype)were used as test data.This paper may provide profound technical supports and instructions for researches intranscriptome analysis.
作者
李岸林
刘长宁
Li Anlin;Liu Changning(Key Laboratory of Tropical Plant Resources and Sustainable Use,Xishuangbanna Tropical Botanical Garden,Chinese Academy of Sciences,Kunming,Yunnan,650223,China;University of Chinese Academy of Sciences,Beijing,100049,China)
出处
《绿色科技》
2019年第14期207-210,共4页
Journal of Green Science and Technology
基金
国家自然科学基金资助项目(编号:31471220)
