The Future of Bioinformatics

P. Bourne
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引用次数: 3

Abstract

Is bioinformatics a discipline? Perhaps a more fundamental question is what is a discipline? According to the Webster's New World Dictionary it is "a system of rules, as for a monastic order." A little harsh perhaps. A more apropos definition is a field of study that stands alone, yet at the same time can be integrated into a large picture of human understanding. In this sense is bioinformatics a discipline? Certainly a question worthy of debate. Most of this audience would say yes, others would say it is a part of computer or information science, others a methodology within the biological sciences and others something destined to merge with medical informatics. If we are struggling for a unique definition perhaps this indicates we want it to be something that stands alone and distinct? I will address this question.Regardless of how we classify bioinformatics, we are dealing with a fledgling enterprise that arose out of the human genome project and has become an interpreter of the genomic language of DNA and is attempting to decipher the more complex languages where proteins are the nouns and interactions the syntax and pathways the sentences and living systems the complete volume. All fledglings learn how to discover, how to grow and adapt and how to live in a complex world. Bioinformatics is no exception. We will explore where we are on this learning curve with examples from our work and others. An exploration covering, methods development, putting the "bio" back in bioinformatics, quality control, and making the leap to systems biology.
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生物信息学的未来
生物信息学是一门学科吗?也许更根本的问题是什么是学科?根据《韦氏新世界词典》的解释,它是“一套规则,如修道院秩序”。也许有点刺耳。一个更恰当的定义是一个独立的研究领域,但同时又可以整合到人类理解的大图景中。从这个意义上说,生物信息学是一门学科吗?这当然是一个值得讨论的问题。大多数听众会说是的,其他人会说它是计算机或信息科学的一部分,其他人会说它是生物科学中的一种方法,还有人会说它注定要和医学信息学结合在一起。如果我们在为一个独特的定义而挣扎,也许这表明我们希望它是一个独立而独特的东西?我将回答这个问题。不管我们如何对生物信息学进行分类,我们正在处理的是一项从人类基因组计划中产生的新兴事业,它已经成为DNA基因组语言的诠释者,并试图破译更复杂的语言,其中蛋白质是名词和相互作用,语法和路径,句子和生命系统是完整的卷。所有的雏鸟都要学习如何发现,如何成长和适应,以及如何在一个复杂的世界中生活。生物信息学也不例外。我们将通过我们的工作和其他人的例子来探索我们在这个学习曲线上的位置。一个探索覆盖,方法发展,把“生物”在生物信息学,质量控制,并使跳跃到系统生物学。
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Tuning Privacy-Utility Tradeoff in Genomic Studies Using Selective SNP Hiding. The Future of Bioinformatics CHEMICAL COMPOUND CLASSIFICATION WITH AUTOMATICALLY MINED STRUCTURE PATTERNS. Predicting Nucleolar Proteins Using Support-Vector Machines Proceedings of the 6th Asia-Pacific Bioinformatics Conference, APBC 2008, 14-17 January 2008, Kyoto, Japan
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