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相关概念视频

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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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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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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Synthetic Biology02:55

Synthetic Biology

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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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Evolutionary Relationships through Genome Comparisons02:54

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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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使用基因组规模模型来预测生物能力.

Edward J O'Brien1, Jonathan M Monk2, Bernhard O Palsson3

  • 1Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA 92093, USA.

Cell
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概括
此摘要是机器生成的。

基于约束的重建和分析 (COBRA) 方法预测细胞功能和基因淘汰效应. 这些基因组规模模型对代谢工程和进化研究有价值.

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科学领域:

  • 系统生物学 系统生物学
  • 代谢工程是代谢工程.
  • 基因组学就是基因组学.

背景情况:

  • 自20世纪90年代中期以来,基于约束的重建和分析 (COBRA) 方法已经显著发展.
  • 基因组规模模型越来越能够预测细胞功能.

研究的目的:

  • 为读者介绍基于约束的重建和分析 (COBRA) 方法.
  • 突出COBRA在各种科学领域的应用.

主要方法:

  • 基因组规模模型的开发.
  • 使用COBRA来预测细胞表型.
  • 分析遗传修饰的影响.

主要成果:

  • COBRA 方法可以准确地预测不同基质上的细胞生长.
  • 这些方法有效地预测了基因淘汰的后果.
  • 在预测一系列细胞功能的过程中已被证明是有用的.

结论:

  • 科布拉方法为了解细胞代谢和功能提供了强大的工具.
  • 应用范围包括代谢工程,抗生素设计和进化生物学.
  • 这本入门书是对这些有影响力的技术的介绍.