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Work pertaining to import and analytics of unknown data source (mass spec), example of Chado integration

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EvanCarroll/mumine

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NAME

Chado FDW and data loaders.

DESCRIPTION

No idea what generates this data, but essentially I got a bunch of stuff like

B5X552,SD13785p (Fragment) (CG11873-RA) [] - [B5X552_DROME],,,1,5.678E5
Q4V5Z4,IP11818p (CG11360) [MEX3A;MEX3B;MEX3C;MEX3D] - [Q4V5Z4_DROME],,,1,1.168E5

The fields are described in the sql column names. The compound name, second field in the above example gets parsed into the constituent parts,

  • name_uniprotkb
  • name_human_ortholog
  • name_orf_gene
  • name_protein

Then a normalized name gets produced which is ideally the orf_gene, unless that's wrong otherwise it is the name_protein unless that's also wrong (search EG:) in which case we fall back and use the orf_gene.

We further link with Chado using PostgreSQL's postgres_fdw so we can run cross-db queries.

EVERYTHING INSTALLS INTO mumine SCHEMA

LICENSE

CC-BY-SA 4.0

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