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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...

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Related Experiment Video

Updated: May 9, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

Estimating DNA polymorphism from next generation sequencing data with high error rate by dual sequencing

Ziwen He1, Xinnian Li, Shaoping Ling

  • 1State Key Laboratory of Biocontrol and Guangdong Key Laboratory of Plant Resources, Sun Yat-sen University, 135 Xingang West Road, Guangzhou 510275, China.

BMC Genomics
|August 8, 2013
PubMed
Summary

Estimating DNA polymorphism from next-generation sequencing data is challenging due to high error rates. A new dual sequencing method for pooled samples reliably estimates genetic diversity even with errors.

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Area of Science:

  • Genomics
  • Population Genetics

Background:

  • Next-generation sequencing (NGS) data presents challenges for accurate DNA polymorphism estimation due to high and non-uniform error rates.
  • Existing methods struggle with reliable estimation of genetic diversity (θ) from NGS data.

Purpose of the Study:

  • To compare existing methods for estimating DNA polymorphism from NGS data.
  • To develop and validate a novel method for accurate DNA polymorphism estimation from pooled samples, particularly under high error rates.

Main Methods:

  • Computer simulations were used to compare individual sequencing versus pooled sample sequencing.
  • A new method was developed for estimating θ from pooled samples subjected to two independent sequencing rounds.
  • The proposed method leverages non-overlapping errors from dual sequencing to distinguish low-frequency polymorphisms from sequencing errors.

Main Results:

  • Sequencing individuals separately offers minimal advantage over pooled sequencing at current NGS error rates unless individual coverage is very high (>20X).
  • The dual applications method for pooled samples demonstrates reliability in estimating θ, even with high error rates and low genetic diversity.
  • Simulations confirm the robustness of the dual sequencing approach.

Conclusions:

  • The dual applications method for pooled samples is a practical and reliable choice for estimating DNA polymorphism in population genetics studies with modest sequencing coverage (~2X per individual).
  • This method addresses the limitations of current NGS data analysis for genetic diversity studies in natural populations.