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Erva Ulusoy
commited on
Commit
·
dcacb6a
1
Parent(s):
065121d
add go info to result table
Browse files
data/finalized_domain2go_mappings.txt
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run_domain2go_app.py
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@@ -109,8 +109,8 @@ def generate_function_predictions(domains_df, mapping_path):
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else:
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merged_df['protein_name'] = domains_df['protein_name'].iloc[0]
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merged_df = merged_df[['protein_name', 'GO', 'domain_locations', 's', 'domain_accession', 'domain_name',]]
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merged_df.columns = ['protein_name', 'GO_ID', 'domain_locations', 'probability', 'domain_accession', 'domain_name',]
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# save protein function predictions
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protein_name = domains_df['protein_name'].iloc[0]
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else:
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merged_df['protein_name'] = domains_df['protein_name'].iloc[0]
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merged_df = merged_df[['protein_name', 'GO', 'GO_aspect', 'GO_name', 'domain_locations', 's', 'domain_accession', 'domain_name',]]
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merged_df.columns = ['protein_name', 'GO_ID', 'GO_aspect', 'GO_name', 'domain_locations', 'probability', 'domain_accession', 'domain_name',]
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# save protein function predictions
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protein_name = domains_df['protein_name'].iloc[0]
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