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相关概念视频

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Gene Duplication and Divergence02:37

Gene Duplication and Divergence

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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
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DNA Microarrays02:34

DNA Microarrays

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Genomics02:02

Genomics

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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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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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相关实验视频

Updated: Jun 14, 2025

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
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一个定量计算框架,用于全聚类单细胞数据集成和核心基因排名在发育中的发展.

Meiyue Wang1,2,3, Zijuan Li4, Haoyu Wang5

  • 1Beijing Life Science Academy, Beijing, China.

Molecular biology and evolution
|August 30, 2024
PubMed
概括

我们开发了一种计算工具,即伪基因组分歧量化 (pgDQ),用于跟踪多倍体发育过程中单个细胞的基因组变化. 这种方法克服了数据噪声和错误,为进化生物学和育种提供了新的见解.

关键词:
它是全聚多多多多多的.这就是Evo-devo的意思.在pgDQQ中.这就是scRNA-seqq.亚基因组多样性 亚基因组多样性

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科学领域:

  • 进化发育生物学 进化发育生物学
  • 基因组学就是基因组学.
  • 计算生物学是一种计算生物学.

背景情况:

  • 多倍体化,不同基因组的合并,推动了创新,但理解其发展影响是复杂的.
  • 在发育过程中追踪亚基因组分歧是具有挑战性的,因为基因组的复杂性和数据限制.
  • 单细胞测序提供了洞察力,但在多倍体分析中存在高错误率.

研究的目的:

  • 开发一个计算框架,用于量化和跟踪多倍体细胞细胞水平的亚基因组分歧.
  • 分析亚基因组分歧和细胞分化轨迹之间的关系.
  • 在发育过程中识别基因和介导亚基因组分离活动的途径.

主要方法:

  • 开发伪基因组分歧量化 (pgDQ) 计算框架.
  • 整合pgDQ与单细胞RNA测序数据进行发育轨迹分析.
  • 应用统计诊断方法来识别亚基因组分歧中的关键基因.

主要成果:

  • pgDQ提供了对亚基因组分歧的可靠量化,对数据噪声和数据丢失不敏感.
  • 该框架可以跟踪细胞分化过程中亚基因组分歧动态.
  • 鉴定基因的基因中心的亚基因组分歧,促进机械的理解.

结论:

  • pgDQ提供了一种系统的方法来了解动态亚基因组分歧如何影响多倍体的发育轨迹.
  • 该方法增强了对多体进化和繁殖研究的机械洞察力.
  • 该框架支持多模式数据的整合,以更深入地进行生物发现.