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相关概念视频

Mutations01:35

Mutations

33.6K
Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
33.6K
Mismatch Repair01:20

Mismatch Repair

4.8K
Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
4.8K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.0K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.0K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

3.9K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
3.9K
Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
4.2K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

13.9K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
13.9K

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相关实验视频

Updated: Jun 3, 2025

In Vivo Modeling of the Morbid Human Genome using Danio rerio
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In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

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组合基于学习的预测器驱动器同义突变与序列表示.

Chuanmei Bi1, Yong Shi1, Junfeng Xia2

  • 1School of Biomedical Engineering, Anhui Medical University, Hefei, China.

PLoS computational biology
|January 6, 2025
PubMed
概括
此摘要是机器生成的。

在癌症中识别驱动同义突变至关重要. 我们的新工具EPEL使用组合学习和DNA形状等新功能来准确预测突变效应,优于现有方法,与患者的结果相关.

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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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相关实验视频

Last Updated: Jun 3, 2025

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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Rare Event Detection Using Error-corrected DNA and RNA Sequencing

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Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
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科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 癌症研究 癌症研究

背景情况:

  • 以前被忽视的同义突变,越来越多地被认为在疾病,尤其是癌症中发挥着重要作用.
  • 准确识别驱动同名突变对于理解癌症发展至关重要,但目前的方法面临数据限制.

研究的目的:

  • 开发一种新的计算方法,用于预测同名突变在人类癌症中的功能影响.
  • 调查基于序列的特征和深度学习表示对此任务的有用性.

主要方法:

  • 探索了基于序列的特征 (DNA形状,物理化学性质,核酸编码) 和深度学习特征.
  • 开发了EPEL (同名突变效应预测器),这是一个组合学习模型,结合了五种基于树的预测器.
  • 优化功能选择以最大限度地提高预测准确度.

主要成果:

  • 与最先进的方法相比,EPEL在一个独立的测试集上表现出更高的性能.
  • 嵌入了DNA形状和深度学习功能,代表了评估同名突变影响的新方法.
  • 在各种癌症类型中确定了EPEL效应得分和患者结局之间的显著相关性.
  • 发现深度学习DNA序列表示在这种情况下并没有显著改善驱动器同名突变识别.

结论:

  • 在癌症研究中,EPEL提供了一种强大而灵活的工具,可以精确地针对癌症研究中的驱动同名突变.
  • 开发的Web服务器 (http://ahmu.EPEL.bio/) 便于研究人员更广泛地访问和应用EPEL.
  • 强调了整合包括DNA形状在内的多种特征的重要性,以准确预测同名突变效应.