生物技术通讯
生物技術通訊
생물기술통신
LETTERS IN BIOTECHNOLOGY
2015年
2期
211-214
,共4页
李江域%陈胜%王小磊%赵东升%王玉民
李江域%陳勝%王小磊%趙東升%王玉民
리강역%진성%왕소뢰%조동승%왕옥민
RNA-Seq%高通量测序%生物信息学%分析平台
RNA-Seq%高通量測序%生物信息學%分析平檯
RNA-Seq%고통량측서%생물신식학%분석평태
RNA-Seq%high throughput sequencing%bioinformatics%analysis platform
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TopHat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。
目的:構建一箇本地化的RNA-Seq數據處理分析平檯,為RNA-Seq研究人員提供數據分析平檯。方法:在調研現有的RNA-Seq數據分析研究成果的基礎上,構建一套本地化的RNA-Seq分析平檯,平檯首先將測序數據中的低質量數據進行過濾,然後使用TopHat將過濾後的數據與參攷基因組數據進行比對,利用比對結果進行可變剪切分析、基因差異錶達分析等,最後通過R語言工具包對分析結果進行可視化繪圖。結果:通過對2組小鼠的RNA-Seq測序數據進行分析,構建的分析平檯能夠較好地過濾低質量測序數據,併且分析齣2組數據間的差異錶達基因,同時還可以圖形化錶示這些差異錶達基因。結論:分析平檯能夠實現對RNA-Seq測序數據的質量控製、差異錶達分析及分析結果的可視化。
목적:구건일개본지화적RNA-Seq수거처리분석평태,위RNA-Seq연구인원제공수거분석평태。방법:재조연현유적RNA-Seq수거분석연구성과적기출상,구건일투본지화적RNA-Seq분석평태,평태수선장측서수거중적저질량수거진행과려,연후사용TopHat장과려후적수거여삼고기인조수거진행비대,이용비대결과진행가변전절분석、기인차이표체분석등,최후통과R어언공구포대분석결과진행가시화회도。결과:통과대2조소서적RNA-Seq측서수거진행분석,구건적분석평태능구교호지과려저질량측서수거,병차분석출2조수거간적차이표체기인,동시환가이도형화표시저사차이표체기인。결론:분석평태능구실현대RNA-Seq측서수거적질량공제、차이표체분석급분석결과적가시화。
Objective: To construct a localized RNA-Seq data processing and analysis platform which can ana?lyze the RNA-seq data for researchers of our institute. Methods: The analysis pipeline was designed based on lit?erature 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 expres?sion 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 fil?tered the low quality sequencing reads, and found the differential expression genes between the two RNA-Seq da?ta 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 visu?alization of the result.