首页> 外文会议>International Conference on Bioinformatics and Biomedicine >Enabling Data Analysis on High-Throughput Data in Large Data Depository Using Web-Based Analysis Platform - A Case Study on Integrating QUEST with GenePattern in Epigenetics Research
【24h】

Enabling Data Analysis on High-Throughput Data in Large Data Depository Using Web-Based Analysis Platform - A Case Study on Integrating QUEST with GenePattern in Epigenetics Research

机译:使用基于Web的分析平台实现大数据存款中的高吞吐量数据的数据分析 - 以思牙科学研究整合任务的案例研究

获取原文

摘要

Enabling data analysis in large data depositories for high throughput experimental data such as gene microarrays and ChIP-seq is challenging. In this paper, we discuss three methods for integrating QUEST, a data depository for epigenetic experiments, with a web-based data analysis platform GenePattern. These methods are universal and can serve as an exemplary implementation resolving the dilemma facing many similar database systems in integrating data analysis tools.
机译:在大型数据存储库中实现数据分析,例如基因微阵列和芯片-SEQ等高吞吐量实验数据是具有挑战性的。在本文中,我们讨论了三种用于整合任务的方法,是表观遗传实验的数据存款,具有基于网络的数据分析平台GenePattern。这些方法是普遍的,可以用作分辨在集成数据分析工具时面临许多类似数据库系统的困境的示例性实现。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号