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相关概念视频

Genomics02:02

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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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Combinatorial Gene Control02:33

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Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
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A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
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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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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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The genome of most prokaryotic organisms consists of double-stranded DNA organized into one circular chromosome in a region of cytoplasm called the nucleoid. The chromosome is tightly wound, or supercoiled, for efficient storage. Prokaryotes also contain other circular pieces of DNA called plasmids. These plasmids are smaller than the chromosome and often carry genes that confer adaptive functions, such as antibiotic resistance.
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整数编程框架用于基于泛基因组的基因组推断.

Ghanshyam Chandra1, Md Helal Hossen2, Stephan Scholz3,4

  • 1Department of Computational and Data Sciences, Indian Institute of Science, Bangalore KA 560012, India.

bioRxiv : the preprint server for biology
|November 18, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种使用泛基因组图的无对齐基因型定型方法. 它可以准确地识别结构变异和主要基因相容综合体 (MHC) 哈普洛类型,即使覆盖范围较低的测序数据.

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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:

  • 目前的基因型定型方法与结构变异和重复的基因组区域作斗争.
  • 参考基因组对齐在多态和重复区域是不可靠的,限制了基因型定型的准确性.
  • 哈普洛型解析的泛基因组图为克服这些局限性提供了一个有希望的方法.

研究的目的:

  • 开发一种新的,无对齐的基因型化框架,利用泛基因组图.
  • 为应对精确基因型结构变异和复杂基因组区域的挑战.
  • 改善基因型化性能,特别是在覆盖率低的测序场景中.

主要方法:

  • 提出了一个基于泛基因组图的无对齐基因型化框架.
  • 制定了这个问题,在泛基因组图中找到一个最佳路径,最大限度地增加k-mer匹配,并最大限度地减少单 haplotype 交换机.
  • 为NP-Hard问题开发了高效的整数编程解决方案.
  • 该算法使用来自同卵性人类细胞系 (0.1×到10×覆盖率) 的下方样本短读数据进行了基准测试.

主要成果:

  • 该算法准确地估计了完整的主要基因相容综合体 (MHC) 哈普洛型序列.
  • 在估计和基准真相MHC哈普洛类型之间实现了小的编辑距离.
  • 与现有方法相比,具有显著的优势,特别是对于低覆盖度的测序数据.
  • 成功应对多态和重复基因组区域带来的挑战.

结论:

  • 开发的无对齐框架提供了准确的基因型定型,特别是对于结构变异和MHC单元型.
  • 与传统方法相比,该方法在低覆盖度测序设置中表现出优异的性能.
  • 未来的扩展计划适应二倍体样本,扩大框架的适用性.