Open dosumis opened 1 week ago
Options for building taxonomy:
CAS tools from https://cellxgene.cziscience.com/e/d7291f04-fbbb-4d65-990a-f01fa44e915b.cxg/
But also in JSON here: https://portal.brain-map.org/atlases-and-data/rnaseq/mouse-whole-cortex-and-hippocampus-10x @hkir-dev has python that can work with the JSON. Might be additional info in their we can use. Update: JSON has brain regions as well as cell types, so might not look like the others we've processed. Working with this is therefore lower priority.
https://static-content.springer.com/esm/art%3A10.1038%2Fs41586-023-06812-z/MediaObjects/41586_2023_6812_MOESM8_ESM.xlsx
Cluster table includes:
e.g.
We need a taxonomy for https://portal.brain-map.org/atlases-and-data/rnaseq/mouse-whole-cortex-and-hippocampus-10x
This corresponds to https://cellxgene.cziscience.com/collections/e3aa612b-0d7d-4d3f-bbea-b8972a74dd4b. We should be able to build a taxonomy directly from the 10x dataset (https://cellxgene.cziscience.com/e/d7291f04-fbbb-4d65-990a-f01fa44e915b.cxg/) using CAS-tools. But we should also check whether an existing AIT taxonomy is available. @patrick-lloyd-ray -can you check this?
Once this is in place, we can then translate then use the table to generate annotation transfer entries in this taxonomy
TODO: Check paper for annotation transfer method details (not found so far, but may be buried?)