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Bioinformatics and genomic analysis of transposable elements in eukaryotic genomes

机译:真核生物基因组中转座子的生物信息学和基因组分析

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A major portion of most eukaryotic genomes are transposable elements (TEs). During evolution, TEs have introduced profound changes to genome size, structure, and function. As integral parts of genomes, the dynamic presence of TEs will continue to be a major force in reshaping genomes. Early computational analyses of TEs in genome sequences focused on filtering out “junk” sequences to facilitate gene annotation. When the high abundance and diversity of TEs in eukaryotic genomes were recognized, these early efforts transformed into the systematic genome-wide categorization and classification of TEs. The availability of genomic sequence data reversed the classical genetic approaches to discovering new TE families and superfamilies. Curated TE databases and their accurate annotation of genome sequences in turn facilitated the studies on TEs in a number of frontiers including: (1) TE-mediated changes of genome size and structure, (2) the influence of TEs on genome and gene functions, (3) TE regulation by host, (4) the evolution of TEs and their population dynamics, and (5) genomic scale studies of TE activity. Bioinformatics and genomic approaches have become an integral part of large-scale studies on TEs to extract information with pure in silico analyses or to assist wet lab experimental studies. The current revolution in genome sequencing technology facilitates further progress in the existing frontiers of research and emergence of new initiatives. The rapid generation of large-sequence datasets at record low costs on a routine basis is challenging the computing industry on storage capacity and manipulation speed and the bioinformatics community for improvement in algorithms and their implementations.
机译:大多数真核基因组的主要部分是转座因子(TEs)。在进化过程中,TE对基因组大小,结构和功能带来了深刻的变化。作为基因组的组成部分,TE的动态存在将继续成为重塑基因组的主要力量。基因组序列中TE的早期计算分析着眼于滤除“垃圾”序列以促进基因注释。当人们认识到真核生物基因组中TE的高度丰富和多样性时,这些早期的努力就转化为TEs的系统化全基因组分类和分类。基因组序列数据的可获得性颠倒了发现新的TE家族和超家族的经典遗传方法。精心策划的TE数据库及其对基因组序列的准确注释反过来促进了TE在许多领域的研究,包括:(1)TE介导的基因组大小和结构变化;(2)TE对基因组和基因功能的影响; (3)宿主对TE的调节,(4)TE的进化及其种群动态,以及(5)TE活性的基因组规模研究。生物信息学和基因组学方法已成为TE大规模研究的组成部分,以利用纯计算机模拟分析提取信息或协助湿实验室实验研究。基因组测序技术的当前革命促进了现有研究领域的进一步发展和新计划的出现。常规情况下以创纪录的低成本快速生成大序列数据集正在对计算行业的存储容量和处理速度以及生物信息学界提出改进算法及其实现的挑战。

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