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相关概念视频

Combinatorial Gene Control02:33

Combinatorial Gene Control

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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.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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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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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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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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-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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.
GWAS does not require the identification of the target gene involved in...
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相关实验视频

Updated: Jul 17, 2025

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq
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轨迹图:一种灵活的工具包,用于对基因组数据进行组合分析.

Yiming Zhang1,2, Ran Zhou1, Lunxu Liu2

  • 1Department of Neurosurgery and State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

PLoS computational biology
|September 5, 2023
PubMed
概括

轨迹图 (Trackplot) 是一个新的Python包,用于创建高质量的基因组数据可视化. 它提供了一个多功能,基于Web的平台来解释各种数据类型,增强科学出版物图形.

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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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:

  • 为复杂的基因组数据生成出版质量的可视化是具有挑战性的.
  • 现有的萨希米图片工具缺乏多功能性,需要大量的数据预处理.
  • 需要将各种基因组数据类型集成到单个可视化平台中.

研究的目的:

  • 介绍Trackplot,这是一个新的Python包,用于可编程和交互式基于Web的基因组数据可视化.
  • 为解释各种基因组数据源提供一个多功能平台,包括基因注释,异形表达和染色体架构.
  • 提供与主要科学期刊兼容的灵活输出格式.

主要方法:

  • 开发了Trackplot作为一个开源的Python包.
  • 实现了一个可编程和交互的基于Web的数据可视化方法.
  • 对各种基因组数据类型的综合支持,无需预处理.
  • 确保输出文件格式的灵活性.

主要成果:

  • 轨迹图允许可视化基因注释与功能域映射.
  • 它支持从scRNA-seq和长读测序中解释异形表达和结构.
  • 染色体可访问性和架构数据可以直接可视化.
  • 该包提供适合主要期刊的灵活输出格式.

结论:

  • 轨迹图为基因组数据可视化提供了一个多功能和用户友好的平台.
  • 它简化了复杂的基因组数据集的解释,以便出版.
  • 开源性质和多种分销道确保了广泛的可访问性.