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

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

17.7K
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%...
17.7K
Multiple Comparison Tests01:13

Multiple Comparison Tests

3.9K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.9K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

15.0K
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,...
15.0K
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...
5.7K

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

Defective cuticle-derived signals enhance extracellular ATP response and plant immunity.

The New phytologist·2026
Same author

CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs.

Briefings in bioinformatics·2026
Same author

Evaluating AlphaFold Tools and Related Scoring Functions for Protein-peptide Complex Prediction.

Genomics, proteomics & bioinformatics·2026
Same author

G2PDeep-v2: A Web-Based Deep-Learning Framework for Phenotype Prediction and Biomarker Discovery for All Organisms Using Multi-Omics Data.

Biomolecules·2025
Same author

Phloem-specific translational regulation of soybean nodulation: Insights from a phloem-targeted TRAP-seq approach.

Plant physiology·2025
Same author

Ad hoc, post hoc and intrinsic-hoc in bioinformatics.

Nature biotechnology·2025
Same journal

Readability of AI-Generated Patient Information on Glucagon-Like Peptide-1 Receptor Agonists.

JMIR bioinformatics and biotechnology·2026
Same journal

Random Survival Forest Versus Elastic-Net Regularized Cox Regression for Survival Prediction in Acute Myeloid Leukemia at Distinct Treatment Time Points: Model Performance Comparison Study.

JMIR bioinformatics and biotechnology·2026
Same journal

Temporal Reproducibility of a Genetic Algorithm-Derived Health Risk Score: Standardized Out-of-Fold Validation Framework (2021-2023).

JMIR bioinformatics and biotechnology·2026
Same journal

The AudioGene Translational Dashboard for Diagnosing Autosomal Dominant Nonsyndromic Hearing Loss: Phenotypic Data Visualization and Analysis Study.

JMIR bioinformatics and biotechnology·2026
Same journal

A Strategic Partnership to Advance AI Applications in Genomics and Bioinformatics for Health Innovation.

JMIR bioinformatics and biotechnology·2026
Same journal

Prevalence and Associated Risk Factors of Bovine Fasciolosis in Bahir Dar, Ethiopia: Cross-Sectional Study.

JMIR bioinformatics and biotechnology·2026
查看所有相关文章

相关实验视频

Updated: Jun 22, 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

使用安全多方计算对单核酸多态的安全比较:方法开发.

Andrew Woods1,2, Skyler T Kramer2,3, Dong Xu1,2,3

  • 1Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, United States.

JMIR bioinformatics and biotechnology
|June 27, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了安全的方法来查询人类DNA数据库,使用单核酸多态 (SNP) 的集合运算. 这些技术使基因组数据的有效和私有分析成为可能,保护个人隐私,同时允许安全的相似性计算.

关键词:
杰卡德的相似性变体呼叫格式 变体呼叫格式安全的多方计算安全多方计算单个核酸的多态性.

更多相关视频

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
Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

15.2K

相关实验视频

Last Updated: Jun 22, 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
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
Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

15.2K

科学领域:

  • 基因组数据安全性 基因组数据安全性
  • 计算生物学 计算生物学
  • 保护隐私的技术 保护隐私的技术

背景情况:

  • 基因组变异提供了对健康和祖先的见解.
  • 保护个体基因组数据的隐私至关重要.
  • 对于可查询但无法访问的数据,需要安全的人类DNA数据库.

研究的目的:

  • 从基因组序列中开发单核酸多态 (SNP) 面板上的高效和安全的计算.
  • 为了实现集合运算 (结合,交叉,差异,对称差异) 进行安全的基因组数据分析.

主要方法:

  • 利用集合运算来计算类似度指标,比如雅卡德相似度.
  • 分析了安全范式,包括半诚实和恶意对抗模式.
  • 在各种安全假设下评估协议性能.

主要成果:

  • 在现实尺寸的基因组数据集上展示了实际应用.
  • 在2.16秒内完成了40万个SNP的Jaccard相似性计算 (恶意对手,诚实多数).
  • 在0.36秒内 (半诚实模型) 实现了40万个SNP的Jaccard相似性计算.

结论:

  • 开发了基因组数据托管中端到端数据安全的方法.
  • 促进对敏感的基因组信息采用可信环境.
  • 允许对DNA数据库进行安全查询,用于识别个人和亲属等应用.