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相关概念视频

Human Genetics01:28

Human Genetics

556
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
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Genomics02:02

Genomics

36.3K
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...
36.3K
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...
17.3K
Genomic DNA in Eukaryotes00:58

Genomic DNA in Eukaryotes

46.8K
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.
46.8K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
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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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: Jun 21, 2025

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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地图 MAVE 数据用于人类基因组学应用程序.

Jeremy A Arbesfeld1, Estelle Y Da2, James S Stevenson1

  • 1The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH.

bioRxiv : the preprint server for biology
|July 9, 2024
PubMed
概括

在MaveDB中的变异效应数据对于理解遗传变异至关重要. 变异效应联盟图谱创建了同类映射,以改善变异显著性评估的数据实用性.

关键词:
深度突变扫描 (deep mutational scanning) 是一种对突变进行深度扫描的方法.全球基因组学与健康联盟大规模并行记者分析.多重测定变异效应的多重测定.变化表示规范规范变化表示规范

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相关实验视频

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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.
  • 分子生物学分子生物学

背景情况:

  • 在MaveDB中对变异函数测试进行大规模实验测量,有可能解决具有不确定的意义的变异.
  • 然而,目前对测试结果相对于测试序列的报告限制了它们的下游应用.

研究的目的:

  • 通过将其映射到人类参考序列来提高变异效应数据的实用性.
  • 为数百万个变体创建机器可读的同质映射.

主要方法:

  • 变异效应联盟图谱 (Atlas of Variant Effects Alliance) 开发了一种方法,将变异效应多重测定 (MAVE) 数据映射到人类参考序列.
  • 这涉及到创建强大的,机器可读的同质映射.

主要成果:

  • 该方法成功处理了来自MaveDB.com的约250万种蛋白质和基因组变体.
  • 在测绘检查的变体方面,获得了高达98.61%的成功率.
  • 将映射数据传播到主要资源,如UCSC基因组浏览器和Ensembl变异效应预测器.

结论:

  • 开发的同质测绘方法显著提高了MAVE数据的下游实用性.
  • 这有助于更有效地评估变异的意义,并将数据整合到基因组资源中.