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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.5K
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...
12.5K
Pedigree Analysis01:35

Pedigree Analysis

84.0K
Overview
84.0K
Generation of Straight or Branched Actin Filaments01:14

Generation of Straight or Branched Actin Filaments

2.9K
The straight or branched structure formation of actin filaments is controlled by nucleating proteins such as the formins and Arp2/3 complex. Formin-mediated assembly results in straight filaments, whereas Arp2/3 protein complex-mediated assembly results in branched actin filaments.
Arp2/3 Complex
Arp2/3 complex is a seven-subunit complex consisting of two proteins similar to actin- Arp2 and Arp3, and five other subunits that help keep Arp2 and Arp3 inactive. When required, the complex is...
2.9K

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

High-affinity optimization potential of the virus neutralizing antibody with twin cysteine-stabilized complementarity-determining region 3.

Frontiers in cellular and infection microbiology·2026
Same author

Postoperative Adjuvant Transcatheterarterial Chemoembolization Should Be Considered Selectively for Patients with Cytokeratin-19 Positive Hepatocellular Carcinoma.

Journal of hepatocellular carcinoma·2025
Same author

Machine learning methods for predicting human-adaptive influenza A virus reassortment based on intersegment constraint.

Frontiers in microbiology·2025
Same author

Comparative pathogenicity of influenza virus-induced pneumonia mouse model following intranasal and aerosolized intratracheal inoculation.

Virology journal·2024
Same author

Screening for anti-influenza virus compounds from traditional Mongolian medicine by GFP-based reporter virus.

Frontiers in cellular and infection microbiology·2024
Same author

Dysregulation of glutamine/glutamate metabolism in COVID-19 patients: A metabolism study in African population and mini meta-analysis.

Journal of medical virology·2022

相关实验视频

Updated: Jun 8, 2025

Cell-based Assay Protocol for the Prognostic Prediction of Idiopathic Scoliosis Using Cellular Dielectric Spectroscopy
08:08

Cell-based Assay Protocol for the Prognostic Prediction of Idiopathic Scoliosis Using Cellular Dielectric Spectroscopy

Published on: October 16, 2013

10.6K

基于二核酸组合表示的深度学习来预测与脊柱结节相关的Fibrillin-1基因型.

Sen Zhang1, Li-Na Dai2, Qi Yin1,3

  • 1State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.

Frontiers in genetics
|November 6, 2024
PubMed
概括

这项研究开发了一种深度学习模型,使用基因组数据预测青少年无形脊椎病 (AIS) 风险. 该模型准确地识别了高风险的遗传变异,有助于早期检测和理解脊柱结石病因.

关键词:
在FBN1中,FBN1是FBN1.深度学习是一种深度学习.基因组的组成 基因组的组成基因型 基因型 基因型脊柱体脊髓变的疾病

更多相关视频

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

33.6K
Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

12.9K

相关实验视频

Last Updated: Jun 8, 2025

Cell-based Assay Protocol for the Prognostic Prediction of Idiopathic Scoliosis Using Cellular Dielectric Spectroscopy
08:08

Cell-based Assay Protocol for the Prognostic Prediction of Idiopathic Scoliosis Using Cellular Dielectric Spectroscopy

Published on: October 16, 2013

10.6K
Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

33.6K
Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

12.9K

科学领域:

  • 遗传学 遗传学是一种遗传学.
  • 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:

  • 脊柱形状变形的脊柱病通常是异常的,但怀疑是多遗传因素.
  • 在发病前确定青少年异常脊椎病 (AIS) 的遗传倾向至关重要.

研究的目的:

  • 开发一个用于预测AIS相关遗传变异的计算框架.
  • 利用深度学习来识别与脊椎病相关的高风险基因型.

主要方法:

  • 解析和分解了~58,000个ClinVar记录,用于Dinucleotide Compositional Representation (DCR) 和其他遗传特征.
  • 应用统计分析来选高风险基因 (例如,FBN1,LAMA2,SPG11).
  • 利用深度学习,特别是卷积神经网络 (CNN),对DCR特征进行训练,以预测脊柱风险变体.

主要成果:

  • 基于DCR的CNN准确地预测了FBN1.1等基因的高风险变体.
  • 无监督机器学习显示了不同变体类型的DCR的明显聚类.
  • 鉴定了179种高风险的脊柱形变异,基于3D结构分析的可解释预测.

结论:

  • 使用DCR的深度学习模型对于预测脊柱结石风险是有效的.
  • 基于DCR的方法显示出对各种疾病的基因型-表型预测有前途.
  • 这一框架有助于识别导致脊椎病的遗传因素.