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-rw-r--r-- | topics/data/precompute/steps.gmi | 15 |
1 files changed, 13 insertions, 2 deletions
diff --git a/topics/data/precompute/steps.gmi b/topics/data/precompute/steps.gmi index a771e2c..d22778a 100644 --- a/topics/data/precompute/steps.gmi +++ b/topics/data/precompute/steps.gmi @@ -13,8 +13,18 @@ We will track precompute steps here. We will have: Trait archives will have steps for * [X] step p1: list-traits-to-compute -* [+] step p2: gemma-lmm9-loco-output: Compute standard GEMMA lmm9 LOCO vector with gemma-wrapper -* [ ] step p3: gemma-to-lmdb: create a clean vector +* [X] step p2: gemma-lmm9-loco-output: Compute standard GEMMA lmm9 LOCO vector with gemma-wrapper +* [X] step p3: gemma-to-lmdb: create a clean vector + +Start precompute + +* [ ] Fetch traits on tux04 +* [ ] Set up runner on tux04 and others +* [ ] Run on Octopus + +Work on published data + +* [ ] Fetch traits The DB itself can be updated from these @@ -22,6 +32,7 @@ The DB itself can be updated from these Later +* [ ] Rqtl2: Compute Rqtl2 vector * [ ] bulklmm: Compute bulklmm vector Interestingly this work coincides with Arun's work on CWL. Rather than trying to write a workflow in bash, we'll use ccwl and accompanying tools to scale up the effort. |