MetaHQ: v1.2.0-rc1
Release candidate for v1.2.0 of the MetaHQ data package - data required to utilize the metahq-cli Python package. Changes made: Adds over 360,000 samples and 16,000 studies to the MetaHQ database Harmonized over 89,000 DiSignAtlas sample-level tissue annotations Harmonized over 351,000 sample-level annotations from Gemma Included additional RNA-Seq annotations from Johnson_2023 Harmonized Gemma sex and age annotations Fixed a bug in the build pipeline where some Gemma tissue annotations would be overwritten Includes additional sample and series metadata fields using OmicIDX (https://github.com/omicidx/omicidx) Adds mappings to samples and studies in MetaHQ to refine.bio Bumps UBERON and MONDO ontology obo files to the latest versions
Authors
- Sean Davis (ORCID: https://orcid.org/0000-0002-8991-6458)
- Parker Hicks (ORCID: https://orcid.org/0000-0002-8102-5458)
- Kayla A Johnson (ORCID: https://orcid.org/0000-0002-0889-5705)
- Arjun Krishnan (ORCID: https://orcid.org/0000-0002-7980-4110)
- Christopher A Mancuso (ORCID: https://orcid.org/0000-0003-3081-2758)
- Sneha Sundar (ORCID: https://orcid.org/0009-0007-1017-3297)
- Lydia Valtadoros
- Faisal Alquadoomi
Institutions
- University of Colorado Anschutz Medical Campus (US)
- Michigan State University (US)
Publication Details
- Journal
- arXiv (Cornell University)
- Published
- 2026-09-10
- DOI
- https://doi.org/10.5281/zenodo.20187710
- Primary Topic
- Scientific Computing and Data Management
- Type
- preprint
Funders
- National Science Foundation