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作 者:李江域[1,2] 陈胜[2] 王小磊[2] 赵东升[2] 王玉民[1]
机构地区:[1]军事医学科学院生物工程研究所,北京100071 [2]军事医学科学院卫生勤务与医学情报研究所,北京100850
出 处:《生物技术通讯》2015年第2期211-214,共4页Letters in Biotechnology
基 金:全军医学科技青年培育项目(13QNP142)
摘 要:目的:构建一个本地化的RNA-Seq数据处理分析平台,为RNA-Seq研究人员提供数据分析平台。方法:在调研现有的RNA-Seq数据分析研究成果的基础上,构建一套本地化的RNA-Seq分析平台,平台首先将测序数据中的低质量数据进行过滤,然后使用Top Hat将过滤后的数据与参考基因组数据进行比对,利用比对结果进行可变剪切分析、基因差异表达分析等,最后通过R语言工具包对分析结果进行可视化绘图。结果:通过对2组小鼠的RNA-Seq测序数据进行分析,构建的分析平台能够较好地过滤低质量测序数据,并且分析出2组数据间的差异表达基因,同时还可以图形化表示这些差异表达基因。结论:分析平台能够实现对RNA-Seq测序数据的质量控制、差异表达分析及分析结果的可视化。Objective: To construct a localized RNA-Seq data processing and analysis platform which can analyze the RNA-seq data for researchers of our institute. Methods: The analysis pipeline was designed based on literature research of the existing RNA-Seq data analysis platforms. In the pipeline, the RNA-seq sequencing data were first filtered to remove low quality reads, then the filtered reads were mapped to the reference genome data by softwares such as TopHat, the mapped reads were used to do variable shear analysis, differential gene expression analysis, the final results of the analysis were carried out by the mapping visualization toolkit written by R language. The analysis platform was constructed according to the pipeline. Results: The results of the two mice RNA-Seq sequencing data analysis showed that the analysis platform of RNA-Seq constructed in the paper filtered the low quality sequencing reads, and found the differential expression genes between the two RNA-Seq data and these differential expressed genes were expressed with graphical representation. Conclusion: The platform can filter the low quality sequences of RNA-Seq data, implement differential expression analysis of genes and visualization of the result.
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