Data

The Human Pangenome Reference Consortium generates raw sequencing data, high-quality assemblies and, for Data Release 1, pangenomes. All data are open and publicly accessible. Sequencing data and assemblies for Data Release 2 can be accessed through the HPRC Data Explorer, or through AnVIL and GitHub. Data Release 2 resources are being progressively added. Where Release 2 versions are not yet available, we advise using Data Release 1, accessible through the links below. Please refer to the HPRC Data Use Best Practices when using HPRC data.

Data Availability

Sequencing data, assemblies, and pangenomes are stored in publicly accesible cloud buckets, the AnVIL data ecosystem, and in SRA/ENA/DDBJ.

• Data is uploaded to both AWS S3 and Google Cloud buckets. GitHub repositories have been created and include details about the data generation as well as index files with locations of the data stored in S3 and GCP. The HPRC S3 bucket does not charge egress fees making it a good option if you would like to download data to your local machine.
• AnVIL is a cloud environment that allows you to view the data organized in convenient data tables that refer to copies of the data in GCP. AnVIL also includes a workflow runner so you can analyze the data withough.
• All data is also uploaded to INSDCs (SRA/ENA/DDBJ) in BioProjects for sequencing data, assemblies, and pangenomes.

Sequencing Data Release 2

• PacBio HiFi (with modification calls)
• PacBio Kinnex
• Oxford Nanopore Ultralong (with modification calls)
• Dovetail Omni-C

In addition, we include high coverage Illumina data produced by the NYGC for parents and children (when available).

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Assemblies Release 2

Assemblies produced with Hifiasm are available alongside annotations for the assemblies.

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Pangenomes Release 1

The HPRC has released pangenomes from its year 1 data. Currently there are three main approaches:

• Minigraph
• Minigraph-CACTUS
• Pangenome Graph Builder (PGGB)

Each pangenome has different strengths and weaknessness. If you do not know which pangenome best suits your needs, see the GitHub repository.