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Genome Copying Errors02:46

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DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
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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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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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The double-stranded structure of DNA has two major advantages. First, it serves as a safe repository of genetic information where one strand serves as the back-up in case the other strand is damaged. Second, the double-helical structure can be wrapped around proteins called histones to form nucleosomes, which can then be tightly wound to form chromosomes. This way, DNA chains up to 2 inches long can be contained within microscopic structures in a cell. A double-stranded break not only damages...
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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: Apr 9, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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QuorUM: An Error Corrector for Illumina Reads.

Guillaume Marçais1, James A Yorke1, Aleksey Zimin1

  • 1IPST, University of Maryland, College Park, MD, USA.

Plos One
|June 18, 2015
PubMed
Summary

QuorUM software corrects errors in Illumina sequencing reads, improving genome assembly quality. This tool enhances downstream analysis by reducing errors and increasing contig length, making it efficient for large datasets.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Illumina sequencing generates high-coverage, short reads with a low but significant error rate.
  • Sequencing errors introduce erroneous k-mers, complicating downstream genomic analyses like assembly.
  • Error correction is crucial for improving the utility of short-read sequencing data.

Purpose of the Study:

  • To develop and evaluate QuorUM, a novel software for error correcting Illumina sequencing reads.
  • To minimize erroneous k-mers while preserving true k-mers for improved genome assembly.
  • To assess QuorUM's performance against existing error correction tools.

Main Methods:

  • Developed QuorUM software based on minimizing distinct erroneous k-mers and preserving true k-mers.

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  • Introduced a composite statistic, π, to measure error correction success.
  • Evaluated QuorUM using actual Illumina reads from reference genomes.
  • Main Results:

    • QuorUM produces trimmed and error-corrected reads, leading to assemblies with longer contigs and fewer errors.
    • QuorUM outperforms several published error correctors across various metrics.
    • QuorUM demonstrates efficient performance on large datasets (1 billion bases/day/core) and significantly improves SOAPdenovo assembly (1.1-4x N50 increase).

    Conclusions:

    • QuorUM effectively corrects Illumina sequencing errors, enhancing genome assembly quality.
    • The software is efficient, scalable, and provides superior performance compared to existing methods.
    • QuorUM is available as a standalone package or MaSuRCA module under GPL.