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

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

14.8K
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,...
14.8K
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
Tagging and Fusion Proteins01:24

Tagging and Fusion Proteins

6.4K
Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
6.4K

You might also read

Related Articles

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

Sort by
Same author

Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models.

Journal of medical Internet research·2025
Same author

Automatic localization and deep convolutional generative adversarial network-based classification of focal liver lesions in computed tomography images: A preliminary study.

Journal of gastroenterology and hepatology·2024
Same author

Reliability of predicting low-burden (≤ 2) positive axillary lymph nodes indicating sentinel lymph node biopsy in primary operable breast cancer - a retrospective comparative study with PET/CT and breast MRI.

World journal of surgical oncology·2024
Same author

Deep convolutional neural network with fusion strategy for skin cancer recognition: model development and validation.

Scientific reports·2023
Same author

Diagnostic accuracy of pre-operative breast magnetic resonance imaging (MRI) in predicting axillary lymph node metastasis: variations in intrinsic subtypes, and strategy to improve negative predictive value-an analysis of 2473 invasive breast cancer patients.

Breast cancer (Tokyo, Japan)·2023
Same author

The classification of stages of epiretinal membrane using convolutional neural network on optical coherence tomography image.

Methods (San Diego, Calif.)·2023
Same journal

Experimental study on deantigenization and trabecular structure effects on bovine cancellous bone compression.

Bio-medical materials and engineering·2026
Same journal

Effects of dentin extract without demineralization on migration and angiogenic potential of human umbilical vein endothelial cells.

Bio-medical materials and engineering·2026
Same journal

Measurement of thermal expansion coefficient of melanin for photoacoustic technology.

Bio-medical materials and engineering·2026
Same journal

Development of chitosan-selenium nanoparticle modified brushite cement: A potential strategy for improved clinical performance in bone regeneration.

Bio-medical materials and engineering·2026
Same journal

Electrostatic layer-by-layer assembly for fabricating morphology-controlled hydroxyapatite/zirconia composite with enhanced osteogenic performance.

Bio-medical materials and engineering·2026
Same journal

The antitumor activity of bismuth lipophilic nanoparticles (BisBAL NPs) on human glioblastoma is higher than temozolomide.

Bio-medical materials and engineering·2026
See all related articles

Related Experiment Video

Updated: May 6, 2026

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
05:51

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia

Published on: June 15, 2011

26.2K

Novel and efficient tag SNPs selection algorithms.

Wen-Pei Chen1, Che-Lun Hung, Suh-Jen Jane Tsai

  • 1Department of Applied Chemistry, Providence University, Taiwan.

Bio-Medical Materials and Engineering
|November 12, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient algorithm for selecting tag SNPs, crucial for genetic variation studies. The new method significantly speeds up the process, making complex disease association studies more feasible.

Keywords:
SNPhadoophaplotype blocknon-redundant siteredundant ratiotag SNP selection

More Related Videos

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

16.6K
qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping
07:00

qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping

Published on: May 25, 2015

20.3K

Related Experiment Videos

Last Updated: May 6, 2026

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
05:51

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia

Published on: June 15, 2011

26.2K
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

16.6K
qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping
07:00

qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping

Published on: May 25, 2015

20.3K

Area of Science:

  • Genetics and Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Single Nucleotide Polymorphisms (SNPs) are abundant genetic variations.
  • Association studies link SNPs/haplotypes to complex diseases.
  • Genotyping all SNPs is costly, necessitating tag SNP selection.

Purpose of the Study:

  • To develop an efficient algorithm for tag SNP selection.
  • To address the time-consuming nature of existing tag SNP algorithms.
  • To facilitate cost-effective genetic association studies.

Main Methods:

  • Developed a novel, efficient algorithm for tag SNP selection.
  • Applied the algorithm to analyze HapMap YRI data.
  • Integrated the algorithm into Hadoop MapReduce for haplotype block analysis tools and web services.

Main Results:

  • The proposed algorithm significantly outperforms existing methods in speed.
  • Achieved at least a tenfold increase in speed compared to existing algorithms.
  • Demonstrated thousands-fold speed improvements in cases with high haplotype block redundancy.

Conclusions:

  • The novel algorithm offers a substantial speed advantage for tag SNP selection.
  • Enables more efficient and cost-effective genetic association studies.
  • Developed integrated tools and web services for haplotype block analysis using the efficient algorithm.