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| author | Pjotr Prins | 2025-10-30 09:50:04 +0100 |
|---|---|---|
| committer | Pjotr Prins | 2026-01-05 11:12:11 +0100 |
| commit | 851d7ada61e9dacbcf04d57b08e2db85d1f1af69 (patch) | |
| tree | 167fb7ce93045c289834ff869ed00224e9d2eca7 | |
| parent | 7b6add80edfba286df44cd0c34f5d4c84c3eb53b (diff) | |
| download | gn-gemtext-851d7ada61e9dacbcf04d57b08e2db85d1f1af69.tar.gz | |
On pangenotypes
| -rw-r--r-- | topics/genetics/pangenotypes.gmi | 6 |
1 files changed, 6 insertions, 0 deletions
diff --git a/topics/genetics/pangenotypes.gmi b/topics/genetics/pangenotypes.gmi index 9ef1c8e..9b3d534 100644 --- a/topics/genetics/pangenotypes.gmi +++ b/topics/genetics/pangenotypes.gmi @@ -1,5 +1,7 @@ # Pangenotypes +Here we discuss different storage solutions for pangenotypes. + ## GRG format @@ -44,3 +46,7 @@ I did some tests and read the source code. The nice thing is that they have very I would like to take similar ideas and take it to an efficient in-memory graph structure that is easily extensible. RDF is key for extensions (and queries). A fast RDF implementation we are going to try is => https://pyoxigraph.readthedocs.io/en/stable/index.html + +Toshiaki pointed out we should look at qlever instead: + +=> https://github.com/ad-freiburg/qlever |