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    GIAB Benchmarking of HG002 Assemblies from HPRC Year 1 Bakeoff | gimi9.com

    • gimi9.com
    Updated Dec 20, 2021
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    (2021). GIAB Benchmarking of HG002 Assemblies from HPRC Year 1 Bakeoff | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_giab-benchmarking-of-hg002-assemblies-from-hprc-year-1-bakeoff/
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    Dataset updated
    Dec 20, 2021
    Description

    The Human Pangenome Reference Consortium (HPRC) tested which combination of current genome sequencing and automated assembly approaches yields the most complete, accurate, and cost-effective diploid genome assemblies with minimal manual curation. Assemblies were generated for GIAB HG002. Variant calls from twenty-nine assemblies were evaluated by NIST using dipcall v0.3 (https://github.com/lh3/dipcall) to produce variant calls when aligned to GRCh38. Benchmarking of small variant calls was then performed against GIAB benchmark v4.2.1 using hap.py v3.12 (https://github.com/Illumina/hap.py).

  2. GIAB Benchmarking of HG002 Assemblies from HPRC Year 1 Bakeoff

    • data.nist.gov
    • catalog.data.gov
    Updated Dec 20, 2021
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    Justin Zook (2021). GIAB Benchmarking of HG002 Assemblies from HPRC Year 1 Bakeoff [Dataset]. http://doi.org/10.18434/mds2-2578
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    Dataset updated
    Dec 20, 2021
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Authors
    Justin Zook
    License

    https://www.nist.gov/open/licensehttps://www.nist.gov/open/license

    Description

    The Human Pangenome Reference Consortium (HPRC) tested which combination of current genome sequencing and automated assembly approaches yields the most complete, accurate, and cost-effective diploid genome assemblies with minimal manual curation. Assemblies were generated for GIAB HG002. Variant calls from twenty-nine assemblies were evaluated by NIST using dipcall v0.3 (https://github.com/lh3/dipcall) to produce variant calls when aligned to GRCh38. Benchmarking of small variant calls was then performed against GIAB benchmark v4.2.1 using hap.py v3.12 (https://github.com/Illumina/hap.py).

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Click to copy link
Link copied
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(2021). GIAB Benchmarking of HG002 Assemblies from HPRC Year 1 Bakeoff | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_giab-benchmarking-of-hg002-assemblies-from-hprc-year-1-bakeoff/

GIAB Benchmarking of HG002 Assemblies from HPRC Year 1 Bakeoff | gimi9.com

Explore at:
Dataset updated
Dec 20, 2021
Description

The Human Pangenome Reference Consortium (HPRC) tested which combination of current genome sequencing and automated assembly approaches yields the most complete, accurate, and cost-effective diploid genome assemblies with minimal manual curation. Assemblies were generated for GIAB HG002. Variant calls from twenty-nine assemblies were evaluated by NIST using dipcall v0.3 (https://github.com/lh3/dipcall) to produce variant calls when aligned to GRCh38. Benchmarking of small variant calls was then performed against GIAB benchmark v4.2.1 using hap.py v3.12 (https://github.com/Illumina/hap.py).

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