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Related Concept Videos

Next-generation Sequencing03:00

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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.
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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. 
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In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
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Updated: Dec 23, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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Sequencing barcode construction and identification methods based on block error-correction codes.

Weigang Chen1, Lixia Wang2, Mingzhe Han3

  • 1School of Microelectronics, Tianjin University, Tianjin, 300072, China. chenwg@tju.edu.cn.

Science China. Life Sciences
|April 19, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a robust barcode construction and identification method for multiplexed sequencing. The novel approach significantly improves DNA sequencing accuracy by correcting errors in sample labels, preventing misassignment.

Keywords:
DNA sequencing barcodeforward-backward algorithmhidden Markov model (HMM)insertion/deletion errors

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Multiplexed sequencing uses DNA barcodes to identify samples.
  • Sequencing errors like insertions, deletions, and substitutions corrupt barcodes, leading to sample misassignment.

Purpose of the Study:

  • To develop a robust barcode construction and error identification method for multiplexed sequencing.
  • To improve the accuracy of assigning sequencing reads to their original samples.

Main Methods:

  • A novel barcode construction combines block error-correction codes with pseudorandom sequences.
  • A soft decision identification method with inner and outer decoding is proposed.
  • The inner decoder uses a hidden Markov model (HMM) and forward-backward (FB) algorithm for error estimation.

Main Results:

  • The proposed method demonstrates high robustness against high error rates in barcodes.
  • The soft decision decoding effectively corrects multiple errors, enhancing read assignment accuracy.
  • The proposed inner decoding algorithm reduces computational complexity compared to watermark-based methods.

Conclusions:

  • The developed barcode strategy significantly enhances the reliability of multiplexed sequencing.
  • This method offers a more accurate and computationally efficient solution for sample identification in DNA sequencing.