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Plant Diversity ›› 2012, Vol. 34 ›› Issue (6): 555-561.DOI: 10.3724/SP.J.1143.2012.12143

• 研究论文 • 上一篇    下一篇

关于iFlora创建工作框架的建议

 曾春霞, 杨俊波, 杨静, 伊廷双, 林春艳   

  1. 中国科学院昆明植物研究所中国西南野生生物种质资源库,云南 昆明650201
  • 收稿日期:2012-11-05 出版日期:2012-12-25 发布日期:2012-11-09
  • 基金资助:

    中国科学院仪器设备功能开发技术创新项目实施方案项目 (植物遗传信息高效获取技术体系集成研制);中国科学院科技创新交叉与合作团队 (iFlora 交叉与合作团队);国家科技部科技基础工作专项项目;国家高科技研究发展计划 (863计划) (2012AA021801);中国科学院大科学装置开放研究项目(2009-LSF-GBOWS-01)

A Proposed Framework for iFlora

 CENG  Chun-Xia, YANG  Jun-Bei, YANG  Jing, YI  Ting-Shuang, LIN  Chun-Yan   

  1. Germplasm Bank of Wild Species, Kunming Institute of Botany, China Academy of Sciences, Kunming 650201, China
  • Received:2012-11-05 Online:2012-12-25 Published:2012-11-09

摘要:

iFlora是依据传统植物分类学及相关学科的研究基础,融入现代DNA测序技术,应用高速发展的信息、网络技术及云计算分析平台,收集、整合和管理植物物种相关信息,以建成智能物种鉴定和数据提取的开放应用系统(智能装备)。通过与该系统的双向交流,一方面,可以不断整合新的数据和技术充实iFlora的内容和功能;另一方面,可以通过该系统的多种鉴定途径实现快速、准确和方便的物种鉴定,获取所需物种的相关信息,满足专业机构和公众对物种和生物多样性的认知要求。本文重点介绍了构成iFlora的应用装置和支撑该装置的实物库(凭证标本、分子材料和DNA库)的建设及其重要性;阐述了构成iFlora各单元的高度整合和集成的特点,以及基于计算机技术的物种信息数字化和开放的云计算数据分析处理服务平台的枢纽作用;并讨论了iFlora创建过程所面临的困难和挑战,以及拟研发的智能装备的框架和应用前景。

关键词: 新一代植物志, 实物库, 物种数字化信息库, 云计算服务

Abstract:

The nextgeneration Flora, or iFlora is an open application system (intelligent device) for plant species identification and data extraction. It derives from the accumulation of traditional plant taxonomy and related disciplines, but also integrates modern DNA sequencing technologies for collection and management of species information based on highspeed computer digitization, network technology and cloud computing analysis platform. Through twoway communication with this system, on one hand, new data and technology can be constantly integrated to enrich the content and function of the iFlora, on the other hand, to acquire the needed species information by means of variously identified pathways to achieve a rapid, accurate and convenient identification of species, so that it meets the cognitive demands of not only professional organizations but also the general public at different levels. The aim of this paper is to: 1) explain the construction of the iFlora application device, the component libraries (including information on voucher specimens, molecular materials and DNA sequences), and their importance; 2) point out the crucial role of digitizing species information and the open cloud computing service platform for data analysis because of the high integration and assembling capabilities of iFlora; and 3) discuss the challenges faced by the iFlora projects and outline possible intelligent device and application prospects in the near future.

Key words: iFlora, Entity library, Species information digitization, Cloud computing

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