用于微生物鉴定和特征描述的测序及计算方法。
Sequencing and computational approaches to identification and characterization of microbial organisms.
作者信息
Yadav Brijesh Singh, Ronda Venkateswarlu, Vashista Dinesh P, Sharma Bhaskar
机构信息
Department of Botany and Microbiology, H.N.B. Garhwal University, Srinagar, India. ; Division of Biochemistry, Indian Veterinary Research Institute, Izatnagar, India.
Central Institute of Fisheries Technology, Cochin, India. ; Division of Biochemistry, Indian Veterinary Research Institute, Izatnagar, India.
出版信息
Biomed Eng Comput Biol. 2013 May 20;5:43-9. doi: 10.4137/BECB.S10886. eCollection 2013.
The recent advances in sequencing technologies and computational approaches are propelling scientists ever closer towards complete understanding of human-microbial interactions. The powerful sequencing platforms are rapidly producing huge amounts of nucleotide sequence data which are compiled into huge databases. This sequence data can be retrieved, assembled, and analyzed for identification of microbial pathogens and diagnosis of diseases. In this article, we present a commentary on how the metagenomics incorporated with microarray and new sequencing techniques are helping microbial detection and characterization.
测序技术和计算方法的最新进展正推动科学家们越来越接近对人类与微生物相互作用的全面理解。强大的测序平台正在迅速产生大量的核苷酸序列数据，这些数据被汇编成庞大的数据库。这些序列数据可以被检索、组装和分析，以识别微生物病原体和诊断疾病。在本文中，我们对宏基因组学与微阵列和新测序技术相结合如何有助于微生物检测和特征描述进行了评论。
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