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Related Concept Videos

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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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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Related Experiment Video

Updated: Dec 1, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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MAUI-seq: Metabarcoding using amplicons with unique molecular identifiers to improve error correction.

Bryden Fields1, Sara Moeskjaer2, Ville-Petri Friman1

  • 1Department of Biology, University of York, York, UK.

Molecular Ecology Resources
|November 10, 2020
PubMed
Summary
This summary is machine-generated.

MAUI-seq, a novel high-throughput amplicon sequencing method, uses unique molecular identifiers for superior error correction. This approach effectively removes erroneous reads and identifies low-abundance genuine alleles, outperforming existing methods.

Keywords:
amplicon sequence variantchimeric ampliconserror correctionhigh-throughput amplicon sequencingmetabarcoding

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • High-throughput amplicon sequencing (HTAS) faces challenges from sequencing and PCR errors.
  • Accurate characterization of genetic diversity is crucial for various biological studies.

Purpose of the Study:

  • To develop an improved error correction method for HTAS.
  • To enhance the accurate identification of genetic variants, especially those at low abundance.

Main Methods:

  • Developed MAUI-seq, a multiplexed HTAS method incorporating unique molecular identifiers (UMIs).
  • Leveraged UMI-associated sequence variation to identify and correct errors.
  • Erroneous sequences are identified by their over-representation among minor sequences linked to a single UMI.

Main Results:

  • MAUI-seq demonstrated efficient elimination of chimeric and erroneous reads.
  • The method outperformed established tools like dada2 and unoise3 in error correction.
  • MAUI-seq successfully identified genuine low-abundance alleles that might otherwise be missed or misidentified.

Conclusions:

  • MAUI-seq offers a sensitive and flexible approach for profiling genetic diversity.
  • The method is adaptable to diverse HTAS applications, including 16S rRNA profiling and eDNA metabarcoding.