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相关概念视频

Genome Annotation and Assembly03:36

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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OMAnnotator:一种构建注释共识基因组序列的新方法.

Sadé Bates1,2,3, Christophe Dessimoz1,2, Yannis Nevers1,4

  • 1Department of Computational Biology, University of Lausanne, CH-1015 Lausanne, Switzerland.

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通过整合不同的基因预测来源,OMAnnotator改善了真核生物基因组注释. 这种新的方法使用进化关系来创建更准确的共识基因组,增强自动注释管道.

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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 高通量测序能够快速生成基因组,但精确的结构基因组注释仍然是一个重大挑战,特别是对于真核生物.
  • 目前的注释方法依赖于多种方法 (ab initio,转录学,同质性搜索),往往产生冲突的基因模型.
  • 自动注释管道难以达到手工策划的准确性,需要改进的共识建设策略.

研究的目的:

  • 介绍OMAnnotator,一种新的计算方法,用于构建一个强大的共识基因组注释.
  • 为了利用进化信息作为整合不同的基因预测来源的决胜者.
  • 为了提高自动化真核生物基因组注释的准确性和可靠性.

主要方法:

  • OMAnnotator重新使用了OMA算法,最初用于遗传学分析,将来自各种来源的基因预测结合起来.
  • 由OMA推断的进化关系被用来解决不同注释预测之间的差异.
  • 该方法将从ab initio,转录组和基于同质学的方法的预测整合到一个统一的共识中.

主要成果:

  • 对Drosophila melanogaster的基准测试表明,OMANnnotator的共识优于单个来源注释和两个领先的注释组合管道.
  • 对三种新测序的真核生物基因组的应用在两种情况下显示了大量的注释改进.
  • 该方法的有效性得到了验证,尽管在已经接受了广泛的手工修复的基因组上观察到不同的结果.

结论:

  • OMAnnotator提供了一种强大而有效的方法,通过整合不同的预测来源来建立共识基因组注释.
  • 使用进化信息显著增强了自动基因模型选择的准确性.
  • 该工具增强了真核生物基因组注释的能力,为现有的生物信息学工具包提供了有价值的补充.