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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

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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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Sanger Sequencing01:57

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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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RNA-seq03:21

RNA-seq

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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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Real Time RT-PCR02:57

Real Time RT-PCR

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Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
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Maxam-Gilbert Sequencing01:05

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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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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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Rare Event Detection Using Error-corrected DNA and RNA Sequencing

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Highly accurate fluorogenic DNA sequencing with information theory-based error correction.

Zitian Chen1,2,3,4, Wenxiong Zhou1,2,4, Shuo Qiao1,2,4

  • 1Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, China.

Nature Biotechnology
|November 7, 2017
PubMed
Summary
This summary is machine-generated.

Error-correction code (ECC) sequencing combines DNA sequencing with an error-correction algorithm to improve accuracy. This method generates error-free sequences up to 200 bp, enabling rare genomic variation identification.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Next-generation DNA sequencing technologies face challenges in error elimination.
  • High accuracy is crucial for identifying subtle genomic variations.

Purpose of the Study:

  • To introduce a novel method, error-correction code (ECC) sequencing, for enhancing DNA sequencing accuracy.
  • To demonstrate the effectiveness of ECC sequencing in generating error-free reads.

Main Methods:

  • ECC sequencing integrates fluorogenic sequencing-by-synthesis (SBS) with an information theory-based error-correction algorithm.
  • Redundancy is embedded in sequencing reads by generating three orthogonal degenerate sequences via alternate dual-base reactions.
  • This approach mirrors effective error detection and correction strategies used in information theory.

Main Results:

  • ECC sequencing, combined with fluorogenic SBS chemistry (98.1% raw accuracy), yields single-end, error-free sequences up to 200 bp.
  • The method effectively corrects errors inherent in DNA sequencing processes.

Conclusions:

  • ECC sequencing significantly improves the accuracy of next-generation DNA sequencing.
  • This technique is expected to facilitate the precise identification of extremely rare genomic variations in biological and medical research.