Work

Molecular Oncology Almanac GK-Pilot Dataset

Year: 2022

Type: dataset

Abstract: An export of the Molecular Oncology Almanac (MOA) knowledgebase represented under the pilot GA4GH Genomic Knowledge framework championed by the VICC and ClinGen Driver Projects. Data files include: moa_gk_pilot_statements.ndjson: MOA evidence represented as genomic knowledge statements moa_gk_pilot_variation_descriptors.ndjson: MOA variation records represented as VRSATILE variation descriptors moa_gk_pilot_methods.ndjson: MOA curation methodology represented as a Method object

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7080008

Authors: Kuzma, Kori, Wagner, Alex H

Institution: Nationwide Children's Hospital

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4393760294

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