...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Experimental Botany >A meeting report from the 2013 GARNet workshop, Data mining with iPlant
【24h】

A meeting report from the 2013 GARNet workshop, Data mining with iPlant

机译：2013 GARNet研讨会的会议报告，“使用iPlant进行数据挖掘”

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

High-throughput sequencing technologies have rapidly moved from large international sequencing centres to individual laboratory benchtops. These changes have driven the 'data deluge' of modern biology. Submissions of nucleotide sequences to GenBank, for example, have doubled in size every year since 1982, and individual data sets now frequently reach terabytes in size. While 'big data' present exciting opportunities for scientific discovery, data analysis skills are not part of the typical wet bench biologist's experience. Knowing what to do with data, how to visualize and analyse them, make predictions, and test hypotheses are important barriers to success. Many researchers also lack adequate capacity to store and share these data, creating further bottlenecks to effective collaboration between groups and institutes. The US National Science Foundation-funded iPlant Collaborative was established in 2008 to form part of the data collection and analysis pipeline and help alleviate the bottlenecks associated with the big data challenge in plant science. Leveraging the power of high-performance computing facilities, iPlant provides free-to-use cyberinfrastructure to enable terabytes of data storage, improve analysis, and facilitate collaborations. To help train UK plant science researchers to use the iPlant platform and understand how it can be exploited to further research, GARNet organized a four-day Data mining with iPlant workshop at Warwick University in September 2013. This report provides an overview of the workshop, and highlights the power of the iPlant environment for lowering barriers to using complex bioinformatics resources, furthering discoveries in plant science research and providing a platform for education and outreach programmes.
机译：高通量测序技术已从大型国际测序中心迅速转移到各个实验室台式。这些变化推动了现代生物学的“数据泛滥”。例如，自1982年以来，向GenBank提交核苷酸序列的大小每年都增加一倍，现在单个数据集的大小经常达到TB级。尽管“大数据”为科学发现提供了令人兴奋的机会，但数据分析技能并不是典型的湿式长凳生物学家经验的一部分。知道如何处理数据，如何可视化和分析数据，做出预测以及检验假设是成功的重要障碍。许多研究人员还缺乏足够的能力来存储和共享这些数据，从而为团体与研究机构之间的有效合作带来了进一步的瓶颈。美国国家科学基金会资助的iPlant协作组织成立于2008年，是数据收集和分析渠道的一部分，有助于缓解与植物科学中的大数据挑战相关的瓶颈。借助高性能计算设施的强大功能，iPlant提供免费使用的网络基础设施，以实现TB级的数据存储，改进分析并促进协作。为了帮助培训英国植物科学研究人员使用iPlant平台并了解如何利用它进行进一步的研究，GARNet于2013年9月在沃里克大学组织了为期四天的iPlant数据挖掘研讨会。该报告概述了该研讨会，并强调了iPlant环境的强大功能，可降低使用复杂的生物信息学资源的障碍，促进植物科学研究的发现，并为教育和推广计划提供平台。

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