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Update README.md
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lauraluebbert committed May 16, 2023
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Expand Up @@ -69,6 +69,7 @@ $ gget archs4 -w tissue ACE2
$ gget pdb 1R42 -o 1R42.pdb

# Fetch an scRNAseq count matrix (AnnData format) based on specified gene(s), tissue(s) and cell type(s) (default species: human)
$ gget setup cellxgene # setup only needs to be run once
$ gget cellxgene --gene ACE2 SLC5A1 --tissue lung --cell_type 'mucus secreting cell' -o example_adata.h5ad

# Predict the protein structure of GFP from its amino acid sequence
Expand All @@ -88,6 +89,8 @@ gget.muscle("path/to/file.fa")
gget.enrichr(["ACE2", "AGT", "AGTR1", "ACE", "AGTRAP", "AGTR2", "ACE3P"], database="ontology", plot=True)
gget.archs4("ACE2", which="tissue")
gget.pdb("1R42", save=True)

gget.setup("cellxgene") # setup only needs to be run once
gget.cellxgene(gene = ["ACE2", "SLC5A1"], tissue = "lung", cell_type = "mucus secreting cell")

gget.setup("alphafold") # setup only needs to be run once
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