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

Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
DNA Isolation01:24

DNA Isolation

DNA isolation protocols can be fast and straightforward or complex and time-consuming depending on the type and quality of DNA required for further processing. For example, plasmid DNA extraction is a bit more complicated than genomic DNA extraction because of the need for an appropriate lysis method to separate plasmid DNA from gDNA during isolation. However, for specific applications, such as long-range DNA sequencing that require a good yield of high- quality DNA samples, we need to follow...

You might also read

Related Articles

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

Sort by
Same author

Correction for: miR-21 upregulation exacerbates pressure overload-induced cardiac hypertrophy in aged hearts.

Aging·2026
Same author

Cardiac extracellular vesicle proteomics identifies mitochondrial and contractile dysfunction in carbon monoxide poisoning and their reversal by hyperbaric oxygen therapy.

Molecular medicine (Cambridge, Mass.)·2026
Same author

2026 Expert Consensus Recommendations on Hypertrophic Cardiomyopathy: A Report of the Task Force of the Taiwan Society of Cardiology.

Acta Cardiologica Sinica·2026
Same author

Anti-inflammatory activity of 3″-hydroxyisoxsuprine, a catechol-structured product of biotransformation hydroxylation, in lipopolysaccharide-stimulated RAW 264.7 macrophage cells.

Journal of bioscience and bioengineering·2026
Same author

Prediction-Guided Biotransformation of <i>p</i>-Hydroxyphenethyl Anisate into a Novel 3',4'-Dihydroxyphenethyl Anisate with Potent Anti-Inflammatory, Anti-Melanoma, and Antioxidant Activities.

Journal of microbiology and biotechnology·2026
Same author

Understanding the cardiology training landscape in Asia-Pacific region.

Postgraduate medical journal·2026

Related Experiment Video

Updated: Jun 6, 2026

Pyrosequencing: A Simple Method for Accurate Genotyping
13:06

Pyrosequencing: A Simple Method for Accurate Genotyping

Published on: January 8, 2008

A simple method using PyrosequencingTM to identify de novo SNPs in pooled DNA samples.

Yeong-Shin Lin1, Fu-Guo Robert Liu, Tzi-Yuan Wang

  • 1Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 300, Taiwan. yslin@faculty.nctu.edu.tw

Nucleic Acids Research
|December 7, 2010
PubMed
Summary

This study introduces a new algorithm to identify novel single-nucleotide polymorphisms (SNPs) in pooled DNA samples using Pyrosequencing. The method accurately predicts de novo SNPs and estimates their frequencies, reducing genetic survey costs.

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

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

Related Experiment Videos

Last Updated: Jun 6, 2026

Pyrosequencing: A Simple Method for Accurate Genotyping
13:06

Pyrosequencing: A Simple Method for Accurate Genotyping

Published on: January 8, 2008

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

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

Area of Science:

  • Genetics
  • Bioinformatics
  • Molecular Biology

Background:

  • Measuring allele frequencies in pooled DNA samples is a cost-effective method for surveying single-nucleotide polymorphisms (SNPs) in large populations.
  • Pyrosequencing is suitable for pooled DNA analysis due to its signal proportionality to DNA template quantity.
  • Identifying de novo SNPs in pooled samples using Pyrosequencing signals has been a challenge due to assay design complexities.

Purpose of the Study:

  • To develop a computational algorithm for identifying de novo SNPs in pooled DNA samples using Pyrosequencing.
  • To estimate the allele frequency of newly discovered SNPs from Pyrosequencing data.
  • To provide a web interface for the developed algorithm.

Main Methods:

  • Developed an algorithm to predict de novo SNP sequences and estimate allele frequencies from Pyrosequencing pyrograms of pooled DNA.
  • Utilized known wild-type allele sequences and pyrograms as input.
  • Validated the algorithm through computational simulations and experimental Pyrosequencing tests.

Main Results:

  • The developed algorithm successfully predicted de novo SNPs and estimated their allele frequencies in pooled DNA samples.
  • Both computational simulations and experimental results demonstrated the method's effectiveness.
  • A web interface was made available for public use.

Conclusions:

  • The novel algorithm enables the identification and frequency estimation of de novo SNPs in pooled DNA using Pyrosequencing.
  • This approach offers a practical solution for cost-effective genetic variation discovery.
  • The method has implications for large-scale genetic association studies and population genetics research.