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首页> 外文会议>Asia-Pacific Bioinformatics Conference(APBC 2003); 200302; Adelaide(AU) >Let the shoemaker make the shoes - An abstraction layer is needed between bioinformatic analysis, tools, data, and equipment: An agenda for the next 5 years
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Let the shoemaker make the shoes - An abstraction layer is needed between bioinformatic analysis, tools, data, and equipment: An agenda for the next 5 years

机译：让鞋匠来做鞋-生物信息分析，工具，数据和设备之间需要一个抽象层：未来5年的议程

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Bioinformatic tool development is being driven by individual efforts which while extending the boundaries of what is possible, are constrained by the framework in which the tools are being defined. This is resulting in a slower development process, as well as tools that operate independently of other tools, and suffer inconsistent interfaces in terminology, layout, level of standards compatibility, stability, etc. The utility of these tools could be increased with better planning and development during this growth stage of bioinformatics tool development but this requires the adoption of a 'grander plan' of how the architecture of bioinformatics should be laid out. There are a number of themes to this discourse. It is economically attractive to allow specialists to focus on their respective scientific specialities rather than on building a computing framework and the associated tools necessary to pursue their respective specialities. There is a body of knowledge in how to best utilise individual tools or combinations of tools and this knowledge is not being captured and codified and consequently not being exploited to its fullest. It is possible to build problem solving strategies around a tool or combinations of tools and codified knowledge about how to best utilise the tool/s. It should be possible to mix, match, combine, and exclude individual tools as components in a toolset employed by user defined problem solving strategies. Finally, it should be possible to automate the execution of user-defined strategies utilising tools and tool expertise.
机译：生物信息学工具的开发受到个人努力的推动，这些努力虽然扩大了可能的范围，但受到工具定义框架的限制。这会导致开发过程变慢，以及工具独立于其他工具运行，并且在术语，布局，标准兼容性级别，稳定性等方面会出现不一致的界面。可以通过更好的计划和改进来提高这些工具的效用。在生物信息学工具开发的这个成长阶段进行开发，但这需要采用“规划方案”，以规划生物信息学的体系结构。此论述有许多主题。在经济上有吸引力的是，允许专家专注于他们各自的科学专业，而不是专注于追求各自专业所需的计算框架和相关工具。关于如何最好地利用单个工具或工具组合有很多知识，这些知识没有被捕获和整理，因此也没有得到最大程度的利用。可以围绕一种工具或工具的组合以及关于如何最好地利用工具的编码知识来构建问题解决策略。用户定义的问题解决策略所采用的工具集中应该可以混合，匹配，组合和排除单个工具作为组件。最后，应该有可能利用工具和工具专业知识来自动执行用户定义的策略。

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