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相关概念视频

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 Annotation and Assembly03:36

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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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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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.
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Genomic DNA in Eukaryotes00:58

Genomic DNA in Eukaryotes

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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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CRISPR/Cas9 Genome Editing01:28

CRISPR/Cas9 Genome Editing

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The CRISPR-Cas system serves as a bacterial defense mechanism against invading genetic elements such as viruses and plasmids, forming the foundation for its adaptation as a powerful genome-editing tool. Originally discovered in prokaryotes, this system has been repurposed to revolutionize genetic engineering across a wide range of organisms, including plants, animals, and humans. The core component, Cas9, is an endonuclease derived from Streptococcus pyogenes, capable of introducing...
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An Integrated Approach for Microprotein Identification and Sequence Analysis
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An Integrated Approach for Microprotein Identification and Sequence Analysis

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该UCSC基因组浏览器数据库:2026年更新更新.

Jonathan Casper1, Matthew L Speir1, Brian J Raney1

  • 1Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, United States.

Nucleic acids research
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概括
此摘要是机器生成的。

该UCSC基因组浏览器提供更新的工具来比较基因组注释. 新功能包括用于突变数据的热图,用于组装数据传输的QuickLift和用于简化轨道枢纽创建的HubSpace.

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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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Genome-wide Snapshot of Chromatin Regulators and States in Xenopus Embryos by ChIP-Seq
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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:

  • 25年来,UCSC基因组浏览器一直是主要的资源.
  • 研究人员需要工具来可视化和比较不同组件的基因组注释.

研究的目的:

  • 为UCSC基因组浏览器引入重大更新.
  • 为研究人员增强数据可视化,数据传输和跟踪中心管理.

主要方法:

  • 实现了从MaveDB.com获得的突变后果数据的位置热图显示.
  • 开发了QuickLift,用于在基因组组合之间复制注释数据.
  • 引入HubSpace以简化轨道枢纽创建和使用,并提供专用存储.

主要成果:

  • 一个新的热图可用于功能突变数据的可视化.
  • QuickLift 能够在相关组件之间有效地传输注释数据.
  • HubSpace简化了轨道枢纽管理,提供专用用户存储.

结论:

  • 更新的UCSC基因组浏览器为基因组数据分析和共享提供了增强的功能.
  • 新功能改善了突变后果的可视化和基因组注释的管理.