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A GENTLE INTRODUCTION TO SNP ANALYSIS: RESOURCES AND TOOLS

机译:SNP分析的简要介绍:资源和工具

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Bioinformatics is the use of informatics tools and techniques in the study of molecular biology, genetic, or clinical data. The field of bioinformatics has expanded tremendously to cope with the large expansion of information generated by the mouse and human genome projects, as newer generations of computers that are much more powerful have emerged in the commercial market. It is now possible to employ the computing hardware and software at hand to generate novel methodologies in order to link data across the different databanks generated by these international projects and derive clinical and biological relevance from all of the information gathered. The ultimate goal would be to develop a computer program that can provide information correlating genes, their single nucleotide polymorphisms (SNPs), and the possible structural and functional effects on the encoded proteins with relation to known information on complex diseases with great ease and speed. Here, the recent developments of available software methods to analyze SNPs in relation to complex diseases are reviewed with emphasis on the type of predictions on protein structure and functions that can be made. The need for further development of comprehensive bioinformatics tools that can cope with information generated by the genomics communities is emphasized.
机译:生物信息学是在分子生物学,遗传学或临床数据研究中使用信息学工具和技术的方法。随着商业市场上出现了功能更强大的新一代计算机,生物信息学领域已得到极大扩展,以应对由鼠标和人类基因组计划生成的信息的大量扩展。现在可以使用手头的计算硬件和软件来生成新颖的方法,以便跨这些国际项目生成的不同数据库之间的数据链接,并从收集的所有信息中得出临床和生物学相关性。最终目标是开发一种计算机程序,可以轻松,快速地提供与基因,单核苷酸多态性(SNPs)相关的信息,以及与复杂疾病的已知信息相关的编码蛋白质可能的结构和功能作用。在此,回顾了分析与复杂疾病相关的SNP的可用软件方法的最新进展,重点是对蛋白质结构和功能的预测类型。强调需要进一步开发能够应对基因组学社区所产生信息的综合生物信息学工具。

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