After restructuring of the functional_annotation_agg collection in Mongo we will be and adding MetaProteomics functional results to this collection (dependent on https://github.com/microbiomedata/nmdc-aggregator/pull/27). We will then need to restructure/check how the MetaP functional annotations are accessed during ingest to postgres and ultimately on the Data Portal.
We intend to remove all records from the metap_gene_function_aggregation collection in Mongo - instead all functional annotations for Metaproteomics will be found in the functional_annotation_agg collection.
For testing - in dev mongo, the functional_annotation_agg collection now contains records for a MetaProteomics analysis. You can find them by searching dev mongo's functional_annotation_agg collection for the was_generated_by field's value "nmdc:wfmp-11-x0zhd078.1".
After restructuring of the
functional_annotation_agg
collection in Mongo we will be and adding MetaProteomics functional results to this collection (dependent on https://github.com/microbiomedata/nmdc-aggregator/pull/27). We will then need to restructure/check how the MetaP functional annotations are accessed during ingest to postgres and ultimately on the Data Portal.We intend to remove all records from the
metap_gene_function_aggregation
collection in Mongo - instead all functional annotations for Metaproteomics will be found in thefunctional_annotation_agg
collection.For testing - in dev mongo, the
functional_annotation_agg
collection now contains records for a MetaProteomics analysis. You can find them by searching dev mongo'sfunctional_annotation_agg
collection for thewas_generated_by
field's value "nmdc:wfmp-11-x0zhd078.1".cc @aclum