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Erva Ulusoy
commited on
Commit
•
e359f1f
1
Parent(s):
2fe26d1
column name modifications
Browse files- run_domain2go_app.py +2 -2
run_domain2go_app.py
CHANGED
@@ -83,7 +83,7 @@ def find_domains(email, sequence, name):
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domains_df = pd.DataFrame.from_dict(entries, orient='index').reset_index()
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domains_df['protein_name'] = name
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domains_df = domains_df[['protein_name', 'index', 'name', 'locations']]
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-
domains_df.columns = ['protein_name', '
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return [result_text, domains_df]
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else:
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@@ -110,7 +110,7 @@ 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', 'locations', 's', 'accession', 'name',]]
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-
merged_df.columns = ['protein_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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domains_df = pd.DataFrame.from_dict(entries, orient='index').reset_index()
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domains_df['protein_name'] = name
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domains_df = domains_df[['protein_name', 'index', 'name', 'locations']]
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+
domains_df.columns = ['protein_name', 'domain_accession', 'domain_name', 'domain_locations']
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return [result_text, domains_df]
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else:
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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', 'locations', 's', 'accession', '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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