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| author | Pjotr Prins | 2025-09-24 10:56:08 +0200 |
|---|---|---|
| committer | Pjotr Prins | 2026-01-05 11:12:10 +0100 |
| commit | 934890bbc42905a58ca434a2f09c19f1a7ecb6c0 (patch) | |
| tree | e2844a9bfff0ca9d3c5b9d78c0d1b4a0fdb678e6 /topics/systems | |
| parent | df4319a83479da4909629ae0bacaccb447a9e09d (diff) | |
| download | gn-gemtext-934890bbc42905a58ca434a2f09c19f1a7ecb6c0.tar.gz | |
Precompute
Diffstat (limited to 'topics/systems')
| -rw-r--r-- | topics/systems/mariadb/precompute-publishdata.gmi | 36 |
1 files changed, 35 insertions, 1 deletions
diff --git a/topics/systems/mariadb/precompute-publishdata.gmi b/topics/systems/mariadb/precompute-publishdata.gmi index b13a744..0ae6f1d 100644 --- a/topics/systems/mariadb/precompute-publishdata.gmi +++ b/topics/systems/mariadb/precompute-publishdata.gmi @@ -31,6 +31,8 @@ So we can convert a .geno file to BIMBAM. I need to extract GN traits to a R/qtl * [ ] Update PublishXRef and store old reaper value(?) * [ ] Correctly Handle gn-guile escalating errors * [X] RDF point back to original data file +* [ ] Fix Infinity also in LMM run (156 SNPs only) +* [ ] Make time stamp, host, user a compute 'origin' block in RDF * [ ] RDF mark QTL * [ ] Make sure the trait fetcher handles authorization or runs localhost only * [ ] gemma-wrapper --force does not work for GRM and re-check GRM does not change on phenotype @@ -3040,4 +3042,36 @@ The output now points to the lmdb vector files: + gnt:hostname "balg01"; ``` -## Digest QTL +## Digest QTL to RDF + +In the next step we want to show the QTL in RDF. First I created a small subset for testing that I can run with + +``` +time ./bin/rdf-analyse-gemma-hits.rb test-hk-2000.n3 test-2000.n3 +``` + +It shows, for example, + +``` +gn:GEMMAMapped_LOCO_BXDPublish_10012_gemma_GWA_7c00f36d_QTL_Chr4_25_25 + gnt:mappedQTL gn:GEMMAMapped_LOCO_BXDPublish_10012_gemma_GWA_7c00f36d; + rdfs:label "GEMMA BXDPublish QTL"; + gnt:qtlChr "4"; + gnt:qtlStart 24.7356 ; + gnt:qtlStop 24.7356 ; + gnt:qtlLOD 3.6 . +gn:GEMMAMapped_LOCO_BXDPublish_10012_gemma_GWA_7c00f36d_QTL_Chr4_25_25 gnt:mappedSnp gn:Rsm10000001919_BXDPublish_10012 +_gemma_GWA_7c00f36d . +gn:GEMMAMapped_LOCO_BXDPublish_10012_gemma_GWA_7c00f36d_QTL_Chr4_25_25 a gnt:newQTL . +``` + +in other words a QTL with LOD 3.6 and a single SNP that is new compared to the HK output. We want to annotate a bit more, because I want to show the maximum allele frequency contained by the SNPs. That is not too hard as it is contained in the mapped SNP info: + +``` +gn:Rsm10000005700_BXDPublish_10001_gemma_GWA_7c00f36d a gnt:mappedLocus; + gnt:mappedSnp gn:GEMMAMapped_LOCO_BXDPublish_10001_gemma_GWA_7c00f36d; + gnt:locus gn:Rsm10000005700; + gnt:lodScore 6.2; + gnt:af 0.382; + gnt:effect 1.626. +``` |
