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

11.6K
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%...
11.6K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

15.1K
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,...
15.1K
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

492
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
492
Multiple Comparison Tests01:13

Multiple Comparison Tests

3.5K
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...
3.5K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

734
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
734
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.9K
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...
5.9K

You might also read

Related Articles

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

Sort by
Same author

Core Differentially Expressed Genes in Psoriasis Lesions: An Integrated Analysis of Four GEO Datasets.

Psoriasis (Auckland, N.Z.)·2026
Same author

An Embedded System for Collection and Real-time Classification of a Tactile Dataset.

IEEE access : practical innovations, open solutions·2025
Same author

Feedforward extraction of behaviorally significant information by neocortical columns.

Frontiers in neural circuits·2025
Same author

Deetect: A Deep Learning-Based Image Analysis Tool for Quantification of Adherent Cell Populations on Oxygenator Membranes after Extracorporeal Membrane Oxygenation Therapy.

Biomolecules·2022
Same author

Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation.

Entropy (Basel, Switzerland)·2022
Same author

Defining Molecular Treatment Targets for Bladder Pain Syndrome/Interstitial Cystitis: Uncovering Adhesion Molecules.

Frontiers in pharmacology·2022

Related Experiment Video

Updated: May 7, 2026

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

9.2K

Comparison of aggregators for multi-objective SNP selection.

Zeliha Gormez, Ergun Gumus, Ahmet Sertbas

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 11, 2013
    PubMed
    Summary

    This study identified optimal Single Nucleotide Polymorphism (SNP) subsets for distinguishing ethnic groups using feature ranking and aggregation methods. The Pareto Optimal approach demonstrated superior accuracy in selecting relevant SNPs for population genetics and ethnic discrimination.

    More Related Videos

    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
    07:35

    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

    Published on: October 11, 2018

    7.0K
    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

    36.1K

    Related Experiment Videos

    Last Updated: May 7, 2026

    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

    9.2K
    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
    07:35

    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

    Published on: October 11, 2018

    7.0K
    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

    36.1K

    Area of Science:

    • Genomics
    • Population Genetics
    • Bioinformatics

    Background:

    • Single Nucleotide Polymorphisms (SNPs) are key genomic variants influencing genetic traits.
    • SNPs are valuable for tracking population genetic mutations and understanding human diversity.
    • Identifying informative SNPs is crucial for ethnic group discrimination.

    Purpose of the Study:

    • To select the most relevant SNP subsets for accurately discriminating between ethnic groups.
    • To evaluate and compare different feature ranking and aggregation methods for SNP selection.
    • To determine the most effective strategy for utilizing SNPs in population genetics.

    Main Methods:

    • Evaluated SNPs using Mutual Information, Relief-F score, and Principal Component Analysis (PCA) loadings.
    • Employed three aggregation methods: Pareto Optimal, Condorcet, and MC4, to combine feature rankings.
    • Compared the SNP selection accuracies of different aggregation strategies.

    Main Results:

    • SNP subsets selected using the Pareto Optimal aggregation method showed higher classification accuracy.
    • The combination of feature ranking criteria effectively identified informative SNPs.
    • The study highlights the efficacy of specific aggregation methods in SNP selection.

    Conclusions:

    • The Pareto Optimal method is a highly effective strategy for selecting SNP subsets for ethnic discrimination.
    • This approach enhances the utility of SNPs in population genetics and forensic science.
    • Optimized SNP selection can improve the accuracy of genetic profiling across diverse populations.