Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

14.9K
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,...
14.9K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.2K
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...
13.2K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

17.6K
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%...
17.6K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

iSCORE-PD: an isogenic stem cell collection to research Parkinson's disease.

Nature communications·2026
Same author

Bridging Genetics and Precision Medicine in Parkinson's Disease through GP2.

medRxiv : the preprint server for health sciences·2026
Same author

The Global Parkinson's Disease Genetics (GP2) Genome Browser.

Movement disorders : official journal of the Movement Disorder Society·2026
Same author

Parkinson Disease Pathogenic Variants: Cross-Ancestry Analysis and Microarray Data Validation.

Neurology. Genetics·2026
Same author

Is <i>SORL1</i> a common genetic target across neurodegenerative diseases?: A multi-ancestry biobank scale assessment.

medRxiv : the preprint server for health sciences·2026
Same author

Comprehensive genetic screening of the South African Parkinson's disease study collection using the NeuroBooster array.

medRxiv : the preprint server for health sciences·2025
Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026
Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026
Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026
Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026
Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026
Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026
查看所有相关文章

相关实验视频

Updated: Jun 13, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.1K

集群破解器:一种机器学习算法,用于从原始数据中对SNP进行基因定型.

Jessica Martin1, Nicole Kuznetsov1,2, Kristin Levine1,2

  • 1Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.

bioRxiv : the preprint server for biology
|September 10, 2024
PubMed
概括
此摘要是机器生成的。

集群破坏器是一个新的AI系统,通过恢复"无调用"SNP来提高神经退行性疾病研究的基因型准确性. 这增强了基因分析和疾病原因的理解.

关键词:
阿尔茨海默氏症是阿尔茨海默氏症的一种疾病.在GWAS中,GWAS就是GWAS.帕金森氏病是帕金森氏病的一种疾病.遗传学 遗传学 遗传学 是一个全基因组关联研究研究.基因型定制是基因型定制.机器学习是机器学习.神经网络的神经网络的神经网络预测 预测 预测 预测单个核酸的多态性.

更多相关视频

Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

38.9K
Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing
07:24

Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing

Published on: February 10, 2023

1.4K

相关实验视频

Last Updated: Jun 13, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.1K
Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

38.9K
Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing
07:24

Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing

Published on: February 10, 2023

1.4K

科学领域:

  • 遗传学 是一个遗传学.
  • 生物信息学是一种生物信息学.
  • 神经科学是一个神经科学.

背景情况:

  • 单核酸多态 (SNP) 基因定型对于将变异与疾病联系起来的遗传研究至关重要.
  • 像基因组工作室这样的现有方法遇到了.
  • 没有电话,没有电话.
  • 阻碍了下游分析.
  • 基因组技术的进步改善了SNP基因型定型,但仍然存在挑战.

研究的目的:

  • 推出一个新的基因型神经网络和视觉检查系统Cluster Buster.
  • 提高神经退行性疾病 (NDD) 研究的基因型的质量和恢复.
  • 减少基因型恢复的手工劳动,提高数据可靠性.

主要方法:

  • 开发一种名为Cluster Buster的基因型神经网络和视觉检查系统.
  • 用全基因组测序 (WGS) 和归算基因型对集群破坏器基因型的一致性分析.
  • 在关键位置 (如LRRK2,APOE和GBA) 上评估SNP性能.

主要成果:

  • 集群检测显示出高可靠性,数十个SNP实现了至少90%与WGS和归因基因型一致.
  • 鉴定了基因组工作室,归算和WGS基因型技术之间的差异.
  • 显著减少了恢复无呼叫SNP的手工工作.

结论:

  • 集群破解器有效地提高了基因型质量,并减少了NDD研究中的手工工作量.
  • 该系统精制基因型数据,用于像全球帕金森遗传计划 (GP2) 这样的大规模项目.
  • 增强的基因型数据促进了更好的归算和全基因组关联研究 (GWAS) 结果,促进了对NDD的理解.