<jupyter_start><jupyter_text>Note we typically do observe a polyG in the cell barcode in some cases when we sequence on the NextSeq  (often the most abundant as seen here). However they are typically a small fraction of the entire run.<jupyter_code>R_grouped.to_csv(path2data+'munched_counts.txt',sep='\t')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.07738095238095238, 'fraction_numerical': 0.002976190476190476, 'mean_word_length': 6.659090909090909, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '602057', 'license': 'MIT', 'n_tokens_mistral': 108, 'n_tokens_neox': 106, 'n_words': 38, 'path': 'GBC_CBC_pairing/munch_gbc_cbc_fastqs.ipynb', 'repo_name': 'kvshams/MIMOSCA', 'size': '336'}