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Benchmark Dataset for Whole Genome Sequence Compression.

Biji C L, Achuthsankar S Nair

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    A new benchmark dataset for DNA data compression was created using a multistage sampling procedure. This dataset enables effective benchmarking of DNA compression tools, revealing their strengths and weaknesses.

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    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Genomics

    Background:

    • DNA data compression research lacks a standardized dataset for tool evaluation.
    • Current DNA compression achievements are difficult to benchmark due to the absence of a scientifically compiled dataset.

    Purpose of the Study:

    • To propose and compile a benchmark dataset for DNA data compression.
    • To enable standardized evaluation and comparison of DNA compression tools.

    Main Methods:

    • A multistage sampling procedure was employed to create the dataset.
    • The dataset was compiled using genome sequences from the National Centre for Biotechnology and Information (NCBI).
    • The dataset includes 1,105 prokaryotes, 200 plasmids, 164 viruses, and 65 eukaryotes.

    Main Results:

    • Three established DNA compression tools were tested on the newly compiled dataset.
    • The benchmark dataset effectively highlighted the distinct strengths and weaknesses of the tested tools.
    • Performance variations among tools became evident through comparison on the standardized dataset.

    Conclusions:

    • The proposed benchmark dataset is crucial for advancing DNA data compression research.
    • Standardized datasets are essential for reproducible research and accurate tool assessment in bioinformatics.
    • The dataset facilitates a clearer understanding of the current state of DNA compression technology.