BioCorder: A Biodiversity Inventory Tracking System

佛罗里达大学获得了开发BioCorder的资助。BioCorder项目的主要目标是开发一个信息技术框架和基础设施，以促进分布式系统发育和生物多样性数据的发现、访问、整合和分析。BioCorder还将把这些分布式数据资源与本地存储的基于XML的数据连接起来，这将使生物多样性研究人员能够在结构化的工作流程环境中管理数据，并回答曾经难以解决的复杂研究问题。BioCorder将允许用户甚至在通过项目经理采集标本之前对其进行跟踪，该项目经理包括用于采集目的的目标列表。随着标本的获取，他们很容易通过数据库进行跟踪，如生产DNA提取物，PCR产物，DNA序列等任务的执行，在BioCorder的本地和分布式信息可以查询从一个共同的用户界面，既包含简单的搜索功能（类似谷歌搜索），以及复杂的，多层次的搜索。该工具包的开发将促进本科生、研究生和技术人员的培训，他们中的每一个人都可能在生物信息学领域寻求就业。BioCorder还将加强虱子生物学家已经有凝聚力的研究计划。将Web服务用于生物数据将向其他研究人员展示这种技术，并提供有关生物数据开发和实施的说明。

The University of Florida is awarded a grant for the development of BioCorder. The primary goal of the BioCorder project is to develop an information technology framework and infrastructure that facilitates the discovery, access, integration, and analysis of distributed phylogenetic and biodiversity data. BioCorder will also link these distributed data resources to locally stored specimen-based data, which will allow biodiversity researchers to manage data in a structured workflow environment and answer complex research questions that were once intractable. BioCorder will allow the user to track specimens even before they are collected via a project manager that includes target lists for collecting purposes. As specimens are acquired, they are easily tracked through the database as tasks are performed such as producing DNA extracts, PCR products, DNA sequences, etc. The local and distributed information in BioCorder can be queried from a common user interface that contains both simple search capabilities (Google-like searches) as well as complex, multilayered searches. The development of this toolkit will facilitate the training of undergraduates, graduate students, and technicians, each of whom is likely to seek employment in bioinformatics. BioCorder will also enhance the already cohesive research programs of louse biologists. The use of web services for biological data will demonstrate this technology to other researchers and provide an illustration regarding its development and implementation for biological data.