<jupyter_start><jupyter_text>Display all organisms in krona<jupyter_code>o=open("/Volumes/arwen/mobi/group/NOX_clean/results/taxonomy/proteins_taxonomy_taxid_krona.tsv","w")
o.write("#protein\ttaxid\tscore\n")
for e in data : 
    o.write(e.prot+"\t"+e.taxo.taxid+"\t1\n")
o.close()<jupyter_output><empty_output><jupyter_text>```consolektImportTaxonomy /Volumes/arwen/mobi/group/NOX_clean/results/taxonomy/proteins_taxonomy_taxid_krona.tsv -o /Users/chilpert/Results/NOX_visu_clean/Taxonomy/NOX_taxo_krona.html```  Top species/genus...<jupyter_code>data = load("NOX_annotation_allUniprotEntry_20190828-170247.pickle")<jupyter_output>restore a annotated container of  694 elements
{'fraction_non_alphanumeric': 0.14138438880706922, 'fraction_numerical': 0.026509572901325478, 'mean_word_length': 7.8311688311688314, 'pattern_counts': {'":': 0, '<': 8, '<?xml version=': 0, '>': 8, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '354843', 'license': 'Apache-2.0', 'n_tokens_mistral': 298, 'n_tokens_neox': 279, 'n_words': 24, 'path': 'notebook/NOX_Taxonomy.ipynb', 'repo_name': 'glaunay/nox-analysis', 'size': '679'}