BIOINFORMATICS CORE

基因组规模技术的出现给生物学带来了深刻的变化， 研究，其中大型数据集的生成现在几乎在每个领域都很常见。 生物医学研究方面。这种努力需要复杂的计算工具， 将数据转化为知识，并以人类可理解的方式描绘这些知识。 form.这些工具所涉及的语言和概念并不属于生物学家 主流课程，甚至大多数生物学家的思维模式。这样的工作最好是 使用从学术或商业来源进口的软件包进行， 然后需要计算专业知识来实现它们并理解它们的关键， 操作变量;在其他情况下，特定于上下文的计算策略或算法 符合实验条件的。因此，这样一个机构至关重要， 作为Joslin，通过提供访问权限来支持其实验室和核心设施的活动， 这样的计算专业知识。在实践中，生物信息学核心将： 和大型数据库分析的专业知识。特别是它旨在支持计算 通过提供软件工具、帮助和培训，分析复杂数据， 维护高端计算的基础设施，并协调存储和 交换joslin实验室产生的数据， 数据仓库”，以增强单个项目和实验室间荟萃分析的信息性。

The advent of genome-scale techniques has brought a profound change in biological research, where the generation of large datasets is now commonplace in almost every aspect of biomedical research. Such endeavors require sophisticated computational tools to transform data into knowledge, and to portray this knowledge in a human-comprehensible form. These tools involve languages and concepts that are not part of a biologist's mainstream curriculum, or even of most biologist's mindsets. Such work may best be performed with software packages imported from academic or commercial sources, which then requires computational expertise in implementing them and understanding their key operational variables; in other cases, context-specific computational strategies or algorithms that match the experimental situation are required. It is thus essential for an institution such as the Joslin to support the activity of its laboratories and core facilities by providing access to such computational expertise. In practice, the Bioinformatics Core will: provide the tools and expertise in analyses of large databases. In particular it aims to support computational analyses of complex data by providing software tools, help and training, to provide and maintain an infrastructure for high-end computing, and to co-ordinate the storage and interchange of data generated in joslin laboratories by maintaining a common "data warehouse" for enhanced informativity of individual projects and inter-laboratory metaanalyses.