高通量DNA测序和生物信息学:瓶颈和机遇

S. Tsui
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引用次数: 2

摘要

随着应用生物系统、Illumina和罗氏等公司的高通量基因组测序仪的出现,传统的基因组研究方法已经发生了革命性的变化,涉及这些测序仪的新应用已经被设计和采用,不仅在基因组中心,而且在从事生物和生物医学研究的一般实验室。这些基因组测序仪每天能够产生tb级的原始数据,对生物信息学和计算生物学的各个方面提出了巨大的挑战,例如数据质量保证、数据存储、跨平台数据分析标准、数据比较、数据注释和基因网络分析。当该技术应用于临床诊断和个性化医疗等领域时,问题将更加突出。在可预见的未来,我们认为生物信息学将是生物科学进一步发展的主要瓶颈之一。在此讲座中,我们将以香港中文大学微生物基因组学及蛋白质组学研究中心的一些基因组计划为例,阐述我们在生物信息学领域所遇到的困难。然后,根据我们对计算生物学最新发展的理解,讨论和探索可能的解决方案。我们相信这次演讲可以为对生物信息学和计算生物学感兴趣的听众提供有用的见解和未来的研究方向。
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High-throughput DNA sequencing and bioinformatics: Bottlenecks and opportunities
With the emergence of high-throughput genome sequencers from various companies including Applied Biosystems, Illumina and Roche, the conventional approach of genomic investigation has been revolutionized and new applications involving these sequencers have been designed and adopted not only in genome centres, but also in general laboratories working on biological and biomedical research. These genome sequencers are capable of generating terabytes of raw data daily, posing a big challenge to various aspects of bioinformatics and computational biology, e.g. data quality assurance, data storage, cross platform data analysis standards, data comparison, data annotation and gene network analysis. The problem will become more prominent when this technology is applicable in areas such as clinical diagnosis and personalized medicine. In foreseeable future, we believe bioinformatics will be one of the major bottlenecks of the further development of biological sciences. In this talk, we present some of the genome projects in the Centre for Microbial Genomics of Proteomics of the Chinese University of Hong Kong as examples to unravel the difficulties we come across in the area of bioinformatics. Then, based on our understanding of the recent development in computational biology, possible solutions will be discussed and explored. We believe this talk can provide useful insights and future research directions for audiences who are interested in bioinformatics and computation biology.
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