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基于知识库的基因组数据整合分析

Knowledge-based sequence set enrichment analysis
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摘要 数据整合逐渐成为生物数据分析的重要方向。随着高通量技术的广泛应用,基因组序列数据大量产生,而如何充分、高效地整合这些序列数据成为了一个难题。本文从序列角度出发设计了一套新的数据整合方法:序列群富集分析(SequenceSet Enrichment Analysis,SSEA),并用实验数据探讨了其潜在的应用价值,结果显示SSEA能更好的挖掘出序列数据中的复杂生物学信息。 Data integration is becoming more and more important in biological data analysis.Due to significant advances in high throughput technologies,a large amount of DNA sequence data is available.However,there is still a lack of effective integration tools.We thus design an integration tool named Sequence Set Enrichment Analysis （SSEA）.Through the assessment of a published dataset,we demonstrate its utility to better understand complex information underlying sequence data.
作者 杨文涛 石建涛 陈明杰 徐海峰 王侃侃 张济
机构地区 上海交通大学医学院瑞金医院医学基因组学国家重点实验室
出处 《生物信息学》 2011年第4期318-321,共4页 Chinese Journal of Bioinformatics
基金 国家自然科学基金重大项目(项目号:90919059)
关键词 数据整合 生物序列 生物信息学 SSEA Data integration Biological sequence Bioinformatics SSEA
分类号 Q51 [生物学—生物化学]
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参考文献13

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共引文献2

生物信息学
2011年 第4期

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