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相关概念视频

Genomics02:02

Genomics

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...
Evolution of Microbial Genome01:08

Evolution of Microbial Genome

Microbial genome evolution is a highly dynamic process shaped by continual gene gain and loss across species and strains. This genomic flexibility allows microorganisms to adapt rapidly to environmental pressures and interactions with other organisms. Central to understanding this diversity is the distinction between the core and pan genomes.The core genome comprises the genes shared by all sampled strains of a species, representing essential functions needed for fundamental cellular processes.
Viral Recombination00:57

Viral Recombination

Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
Export of Mitochondrial and Chloroplast Genes02:19

Export of Mitochondrial and Chloroplast Genes

A eukaryotic cell can have up to three different types of genetic systems: nuclear, mitochondrial, and chloroplast. During evolution, organelles have exported many genes to the nucleus; this transfer is still ongoing in some plant species. Approximately 18% of the Arabidopsis thaliana nuclear genome is thought to be derived from the chloroplast’s cyanobacterial ancestor, and around 75% of the yeast genome derived from the mitochondria’s bacterial ancestor. This export has occurred irrespective...
Horizontal Gene Transfer01:27

Horizontal Gene Transfer

Horizontal gene transfer (HGT) is a process where genetic material moves between organisms within the same generation, unlike vertical gene transfer, which occurs from parent to offspring. HGT plays a crucial role in microbial evolution, adaptation, and survival, particularly in shared environments like the human gut.Mobile genetic elements such as plasmids, prophages, integrons, insertion sequences, and transposons facilitate this process. HGT occurs through three primary mechanisms:...
Genomic DNA in Eukaryotes00:58

Genomic DNA in Eukaryotes

Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.

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Updated: May 23, 2026

Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning
08:31

Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning

Published on: February 5, 2021

整合基因组的整合

D R Zerbino1, B Paten, D Haussler

  • 1Center for Biomolecular Sciences and Engineering, University of California, Santa Cruz, CA 95064, USA.

Science (New York, N.Y.)
|April 14, 2012
PubMed
概括
此摘要是机器生成的。

计算基因组学整合了各种数据,以获得更深入的生物学见解. 这种使用先进模型和计算机科学的计算方法,为众多生物体的生命提供了新的理解.

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Last Updated: May 23, 2026

Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning
08:31

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Published on: February 5, 2021

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Published on: June 14, 2017

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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:

  • 基因组测序项目越来越多地整合了遗传,分子和表型数据.
  • 一个专门的子学科,计算基因组学,已经出现,以解决这种复杂性.

研究的目的:

  • 描述计算基因组学的出现和范围.
  • 突出计算基因组学的跨学科性质.

主要方法:

  • 从人口遗传学,家族遗传学和人类疾病遗传学中整合模型.
  • 从图形理论,统计学,信号处理和计算机科学中应用原则.
  • 利用计算能力进行大规模的基因组数据分析.

主要成果:

  • 开发一个丰富的基因组学定量基础.
  • 允许对庞大且不断增长的生物样本进行分析.
  • 促进跨多个科学领域的影响.

结论:

  • 计算基因组学对于现代大规模的基因组研究至关重要.
  • 这个领域为生命的历史和多样性提供了新的见解.