Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
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
See all related articles

Related Experiment Video

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

Secure Comparisons of Single Nucleotide Polymorphisms Using Secure Multiparty Computation: Method Development.

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
Summary
This summary is machine-generated.

This study introduces secure methods for querying human DNA databases using set operations on single nucleotide polymorphisms (SNPs). These techniques enable efficient and private analysis of genomic data, protecting individual privacy while allowing for secure similarity computations.

Keywords:
Jaccard similarityVariant Call Formatsecure multiparty computationsingle nucleotide polymorphism

More Related Videos

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

Related Experiment Videos

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

Area of Science:

  • Genomic Data Security
  • Computational Biology
  • Privacy-Preserving Technologies

Background:

  • Genomic variations offer insights into health and ancestry.
  • Protecting individual genomic data privacy is crucial.
  • Secure human DNA databases are needed for queryable yet inaccessible data.

Purpose of the Study:

  • To develop efficient and secure computations on single nucleotide polymorphism (SNP) panels from genomic sequences.
  • To enable set operations (union, intersection, difference, symmetric difference) for secure genomic data analysis.

Main Methods:

  • Utilized set operations to compute similarity metrics like Jaccard similarity.
  • Analyzed security paradigms including semihonest and malicious adversarial models.
  • Evaluated protocol performance under various security assumptions.

Main Results:

  • Demonstrated practical application on realistically sized genomic datasets.
  • Achieved Jaccard similarity computation for 400,000 SNPs in 2.16 seconds (malicious adversary, honest majority).
  • Achieved Jaccard similarity computation for 400,000 SNPs in 0.36 seconds (semihonest model).

Conclusions:

  • Developed methods for end-to-end data security in genomic data hosting.
  • Facilitates the adoption of trusted environments for sensitive genomic information.
  • Enables secure querying of DNA databases for applications like identifying individuals and relatives.