Mercurial > repos > galaxyp > pyteomics_mztab2tsv
comparison mztab_reader.py @ 1:dc31e153fe6c draft default tip
"planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/pyteomics commit 58fe8232b7f4659b37e8725197d63e81efae0683"
| author | galaxyp |
|---|---|
| date | Fri, 15 Jan 2021 21:09:34 +0000 |
| parents | a46d857e25c2 |
| children |
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| 0:a46d857e25c2 | 1:dc31e153fe6c |
|---|---|
| 7 from pyteomics.mztab import MzTab | 7 from pyteomics.mztab import MzTab |
| 8 | 8 |
| 9 | 9 |
| 10 def read_mztab(input_path, output_path): | 10 def read_mztab(input_path, output_path): |
| 11 """ | 11 """ |
| 12 Read mztab file | 12 Read and process mztab file |
| 13 """ | 13 """ |
| 14 mztab = MzTab(input_path) | 14 mztab = MzTab(input_path) |
| 15 if mztab.variant == 'P': | |
| 16 return read_mztab_p(mztab, output_path) | |
| 17 elif mztab.variant == 'M': | |
| 18 return read_mztab_m(mztab, output_path) | |
| 19 | |
| 20 | |
| 21 def read_mztab_p(mztab, output_path): | |
| 22 """ | |
| 23 Processing mztab "P" | |
| 24 """ | |
| 25 mtd = pd.DataFrame.from_dict(mztab.metadata, orient='index') | 15 mtd = pd.DataFrame.from_dict(mztab.metadata, orient='index') |
| 26 mtd.to_csv(os.path.join(output_path, "mtd.tsv"), sep="\t") | 16 mtd.to_csv(os.path.join(output_path, "mtd.tsv"), sep="\t") |
| 27 prt = mztab.protein_table | 17 for name, tab in mztab: |
| 28 prt.to_csv(os.path.join(output_path, "prt.tsv"), sep="\t") | 18 if not tab.empty: |
| 29 pep = mztab.peptide_table | 19 tab.to_csv(os.path.join(output_path, f"{name.lower()}.tsv"), sep="\t") |
| 30 pep.to_csv(os.path.join(output_path, "pep.tsv"), sep="\t") | 20 else: |
| 31 psm = mztab.spectrum_match_table | 21 with open(os.path.join(output_path, f"{name.lower()}.tsv"), "w"): |
| 32 psm.to_csv(os.path.join(output_path, "psm.tsv"), sep="\t") | 22 pass |
| 33 sml = mztab.small_molecule_table | |
| 34 sml.to_csv(os.path.join(output_path, "sml.tsv"), sep="\t") | |
| 35 | |
| 36 | |
| 37 def read_mztab_m(mztab, output_path): | |
| 38 """ | |
| 39 Processing mztab "M" | |
| 40 """ | |
| 41 mtd = pd.DataFrame.from_dict(mztab.metadata, orient='index') | |
| 42 mtd.to_csv(os.path.join(output_path, "mtd.tsv"), sep="\t") | |
| 43 sml = mztab.small_molecule_table | |
| 44 sml.to_csv(os.path.join(output_path, "sml.tsv"), sep="\t") | |
| 45 smf = mztab.small_molecule_feature_table | |
| 46 smf.to_csv(os.path.join(output_path, "smf.tsv"), sep="\t") | |
| 47 sme = mztab.small_molecule_evidence_table | |
| 48 sme.to_csv(os.path.join(output_path, "sme.tsv"), sep="\t") | |
| 49 | 23 |
| 50 | 24 |
| 51 if __name__ == "__main__": | 25 if __name__ == "__main__": |
| 52 # Create the parser | 26 # Create the parser |
| 53 my_parser = argparse.ArgumentParser(description='List of paths') | 27 my_parser = argparse.ArgumentParser(description='List of paths') |
