首页> 外文会议>Proceedings of the First Asia-Pacific bioinformatics conference on Bioinformatics 2003 >Let the shoemaker make the shoes - an abstraction layer is needed between bioinformatic analysis, tools, data, and equipment
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Let the shoemaker make the shoes - an abstraction layer is needed between bioinformatic analysis, tools, data, and equipment

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

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摘要

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 userdefined 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。在这个生物信息学工具开发的成长阶段进行开发,但这需要通过一个关于如何设计生物信息学体系结构的``grander计划''。本演讲涉及许多主题。从经济上讲,让专家专注于它们各自的科学专业,而不是建立计算框架和追求各自专业所必需的相关工具。关于如何最好地利用单个工具或工具组合有很多知识,并且这些知识没有被捕获和整理,因此,可能无法充分利用问题解决策略。找到一种工具或工具的组合以及关于如何最佳利用工具的知识,应有可能将各个工具进行混合,匹配,组合和排除,作为用户定义的问题解决策略所采用的工具集中的组成部分。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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