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Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Related Experiment Video

Updated: Feb 20, 2026

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
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ARCS: scaffolding genome drafts with linked reads.

Sarah Yeo, Lauren Coombe, René L Warren

    Bioinformatics (Oxford, England)
    |October 26, 2017
    PubMed
    Summary
    This summary is machine-generated.

    ARCS software organizes draft genomes into highly contiguous assemblies using linked reads. This application significantly improves genome contiguity by leveraging barcoding information from linked reads.

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    Area of Science:

    • Genomics
    • Bioinformatics
    • Computational Biology

    Background:

    • Human genome sequencing is routine, but chromosome-scale assembly remains challenging due to limited long-range linkage information.
    • Existing sequencing methods often struggle to provide the necessary long stretches of DNA information for complete genome assembly.

    Purpose of the Study:

    • To introduce ARCS, a novel application designed to enhance genome assembly contiguity.
    • To demonstrate the utility of linked reads in organizing draft genomes into more complete structures.

    Main Methods:

    • ARCS utilizes barcoding information present in linked reads to improve genome assembly.
    • The application was tested on an ABySS *H. sapiens* genome assembly using Chromium linked read data.

    Main Results:

    • ARCS increased the contiguity of a human genome assembly by over six-fold.
    • Moderate coverage (25-fold) Chromium data proved sufficient for significant contiguity improvement.

    Conclusions:

    • ARCS effectively harnesses linked read data to connect sequences in genome assembly drafts.
    • The application is expected to be broadly useful for improving the contiguity of draft genomes.