paras-2.0.0.dist-info/licenses/LICENSE.txt,sha256=V8j_M8nAz8PvAOZQocyRDX7keai8UJ9skgmnwqETmdY,34520
parasect/__init__.py,sha256=z8c4DRqnQCOnv9MFepZT7y3DI1LzPBmLcpfrrsNqbxg,120
parasect/api.py,sha256=0isietk3F3obCQiv72PZQhfUXSK_hiGSQ7o-2iYhzM0,12811
parasect/cli_paras.py,sha256=DB94A4QWJ0Alfng9zPRD4a3vLuIfoJxUZOoCdxQptVQ,4523
parasect/cli_parasect.py,sha256=axvQ2hakh4hwwq8Z0DwFEbB059E1vwwMkzyjXyktOYQ,5719
parasect/version.py,sha256=7X_Vwmz8CIB9HkpqzZwnncsk23oetFIc0h7L9QMNcOw,228
parasect/core/__init__.py,sha256=fSa_uXIRLsvJXI6ldlKRo5d8g3W4cfcnGQV5KnCpZuE,61
parasect/core/chem.py,sha256=8BEJLEmI2LgET7UNSFNy4u4OlpzfpW5m2gMzoGj5Gyk,4974
parasect/core/constants.py,sha256=j_MDi0ZZz3HVXDir7ZPO50jCApB0nOG5xou3wTfcHyU,3763
parasect/core/domain.py,sha256=14YHlk4EjytBwakXylwxQz0Cf_l668NvudISY4mkrEY,13638
parasect/core/featurisation.py,sha256=8RYTVSwPCZnoo2tUyO6p_lUtrNMJneMiiqwuCb1i1RI,17828
parasect/core/genbank.py,sha256=zJymWmieKRRObI-8rEaijgV059mR71RYZymzIMcZag0,2879
parasect/core/github.py,sha256=MKxLffJn-rHY_hKoDDX48zB0TDx3ZwmqRMjeiwKTkqc,11908
parasect/core/helpers.py,sha256=g9VtlFhMaj-K_rIFDaFfe9enXLWztfMR6KLlyGuDUSI,4775
parasect/core/hmmer.py,sha256=cTmYO-72nJ1KpWoRAII0gKLVxCPxckoDuNAqmDotHXo,4708
parasect/core/muscle.py,sha256=0qpPYPI3wBjUYQ8u84hf_FblqZ2oGQ-rwevLrt5nfZw,897
parasect/core/parasect_result.py,sha256=vtbRl6cGGt5a0AIZHy1YN0lYbS4vNn1zY4o8U4XvazQ,3304
parasect/core/parsing.py,sha256=0nXRHOW3_16swRGfZcGmuBP2ck68yRNdkFc04As5Cp4,13119
parasect/core/pca.py,sha256=w1tdHtQZYgcqdvKbmaDASmQOIKDSCP7KGYAH7nCNFzs,2492
parasect/core/tabular.py,sha256=GRHDe-7kAlI6C7iNvFv8a5K_pgWNHufBdDY4t9AF880,5486
parasect/core/taxonomy.py,sha256=nbIWS2QNu0AwOUVvToktALKY9ULbMFA-Ie3iiU39Vc4,2152
parasect/core/writers.py,sha256=U1NYfztGoqfwJLFh5laOBaqV26NNwBGGabu2c9mQO3I,2281
parasect/data/AMP-binding_full.hmm,sha256=wnYAQtZ4tuMJEV0WsnFF1qoqBmcy0WojvmoYf4E72gs,234941
parasect/data/AMP-binding_full.hmm.h3f,sha256=UAP2EdaiRCXOVo2YCPtIemWY-9VqXVqGoZW3LL0XtfQ,45820
parasect/data/AMP-binding_full.hmm.h3i,sha256=Iyhfl4V7Q0U3P6NB87YdMY1b0AYfg5QeUHx25uQeXoQ,250
parasect/data/AMP-binding_full.hmm.h3m,sha256=Xnznr7kPQ2qZaic4WlIBRa5rr4Z6MJ2N6NhbpAJeVOk,97745
parasect/data/AMP-binding_full.hmm.h3p,sha256=LKvlczIQLc0kEvcwTTeDdQerWmTcMqUnvGJHin8ifLg,113663
parasect/data/AMP-binding_hmmer2.hmm,sha256=7UynNrF5fyDLMY99FewUUJ_lnZ70FS6TqLwkrRawfK8,81862
parasect/data/__init__.py,sha256=rOTgmKsx4rIt62ri203-mrun3SFJip8FFAhlNkW0Whw,61
parasect/data/active_site.txt,sha256=bxh6pVnnVsLDRXORyTTr7aA5PKeLM-6GL9W4P_lnnbY,135
parasect/data/active_site_hmm2.txt,sha256=DRHiEc88iiAOA0YgEKKfEhtLqWmxSEhud6V9ifLaToM,121
parasect/data/fingerprints.txt,sha256=0eLPIwb1V6C96JpjezktJ5H3HoCDoVp4_ohoTbDjg8s,25425
parasect/data/fingerprints_bacterial.txt,sha256=pCOccU5rFzsV8bxy_Yjc37WvCRyTtbByc6j3jkK5sMg,17082
parasect/data/hashes.txt,sha256=tGJvTTO6MRlPtczq8NrViAMy4QBp2O2-BdxYRUkEodA,2958
parasect/data/included_substrates.txt,sha256=o0i-ocb-8WSH7KWOdnMPIBs0PxRi7rt8xkV6Z8N084Y,563
parasect/data/included_substrates_bacterial.txt,sha256=j9DgZcDvJzHG-5RXVdAcTLQb8qMREi-6MBUxQsjhpOw,422
parasect/data/physicochemical_properties.txt,sha256=ePIWQsXfYeHCFl8Hzd8qbwGgUHOa7d72ilFGGWZPnuQ,1775
parasect/data/stachelhaus.txt,sha256=6TdupVN5fRsovUr5dwk6TkfeQ_KMc0wG-uAv8ViNOmE,35
parasect/data/stachelhaus_hmm2.txt,sha256=CJI44MX_zqtMVOABitkpj_8PrJxeBXjDjoZlJx62vsM,31
parasect/data/structure_alignment.fasta,sha256=d3YrrVLH7EyVsL7M_Jogcc-JtGQx_2TPps298xVVSIY,980431
parasect/data/database_files/domain_substrate_mapping.txt,sha256=RFf78qV1mfx9JI7E6ym04KcTapCV5o2iDILGkPcZ_7s,107376
parasect/data/database_files/domains.fasta,sha256=SWZVeR6Db180cftMOo94vKeXmbVCsvDpe_9Sis9oxO0,1747427
parasect/data/database_files/extended_signatures.fasta,sha256=3EX_9pxU15N9iIeFq5Q4lVz-4BJvpMnJBnqzYH9_vVg,190783
parasect/data/database_files/parasect_dataset.txt,sha256=kH4j0IBq8UnwsiXAiYbQ-RWbdVzFG0DdN2l8oR-KQQk,1791887
parasect/data/database_files/proteins.fasta,sha256=eW0nrjHRqXrXhm-bj_cV5FsCzRmL85PnjSutue60Wj8,5208833
parasect/data/database_files/signatures.fasta,sha256=F1_puNjdifYskmcmoesShIReEHWxS7sZ-OKKSazYRHY,103023
parasect/data/database_files/smiles.tsv,sha256=Jwvvzb8DxTmMbsm6PNAOqmvQ1y3ppFAoQSCMRTMFgVA,15535
parasect/data/database_files/taxonomy.txt,sha256=VcPiqtIO2jhcTRMDYXX3gvfskSZpTQWXAg-ELbqMcRs,226689
parasect/data/database_files/signature_positions/positions.txt,sha256=Qm6HK19OoCARicMNxmn9GBX21K5FRgfNmdAR2_H95HQ,634812
parasect/data/database_files/signature_positions/relative_positions.txt,sha256=mh-X3DAPNCpYnkQdVYLLCRYkQiqMrzj4u4KQ6LsaY0M,556238
parasect/database/__init__.py,sha256=z8c4DRqnQCOnv9MFepZT7y3DI1LzPBmLcpfrrsNqbxg,120
parasect/database/add_user_submissions.py,sha256=aIRE9EYsceSs-PcEwa9lVLKhBMybPNYiLWUoBlUEsTo,6725
parasect/database/build_database.py,sha256=lFp74EpjfTP0RCNHb1YdPUCRFUUv2rlzU5Er3REoFPo,5737
parasect/database/extract_signature_positions.py,sha256=o1LClGaZXvwOcTDeUHevmatc9IQnipG-5EEPAGeeLro,5573
parasect/database/flatfiles_from_db.py,sha256=6_Mg50SqkdtwbPSA1xYZx7Mld9nT51TiXlmzUiu5-0Y,7185
parasect/database/get_substrate_mapping.py,sha256=KPznnyNm_rYb9wesM3C95Vd2To-KdBUzQV4HvqcskiI,1361
parasect/database/populate_database.py,sha256=_m6XM6n5OeYlRJzlp7vblSwPxVWy06eqkQGpxFZdeWQ,21106
parasect/database/process_substrate_corrections.py,sha256=1O2HxjSJxMExDPwZVwW3C3AXJk-eCT-BEdN54udJyb8,3029
parasect/database/protein_identifiers.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
parasect/database/query_database.py,sha256=B15SQfu7hDEnRHryoGGk-50P4GowgW9C6DRXQsh5neM,5790
parasect/model_training/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
parasect/model_training/data_processing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
parasect/model_training/data_processing/get_domain_fasta.py,sha256=-qYK7z0ip3hwTntPIlY5i14_2VrCjJYEv_P2_7M5MkQ,308
parasect/model_training/data_processing/get_new_domains.py,sha256=gvqdRKMSctfCFnHwS5bviYK80bTrgyYjND9G9QDbM-s,2516
parasect/model_training/data_processing/subtract_domains.py,sha256=Xn_ctZXgvWF35-bE3B7f_6d4DZPcQgUzbq1-IuBCXlw,297
parasect/model_training/data_processing/data_analysis/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
parasect/model_training/data_processing/data_analysis/alluvial_table_from_database.py,sha256=GxPN2gZcklm34yHcOY8NmrI-XzcI_ppfaSggAfUM2SQ,328
parasect/model_training/data_processing/data_analysis/analyse_domain_groups.py,sha256=ibxHYbveshfAJrbuGphprPh4kGy7NCXUARWbR_K1Bxc,6192
parasect/model_training/data_processing/data_analysis/benchmark_paras_parasect.py,sha256=uwFBrYiMnPTTGuwUPNQdRqrAMGE0DFkcK0-4JTbJYzs,4004
parasect/model_training/data_processing/data_analysis/cytoscape.py,sha256=JAnDSIS-gtVjxVeTCmh5dLCiz2qSz5WQ-RpMHSjww64,333
parasect/model_training/data_processing/data_analysis/explore_data_splits.py,sha256=G8rNZl_GUxgg6wuRaj2mHeiTuxITQL1utqWQD-jAdEE,2197
parasect/model_training/data_processing/data_analysis/get_promiscuous_domains.py,sha256=rXzEkwl0pWGnLO2X3Mj52wmlPSQ2RMAfyPb9nKKoh8E,973
parasect/model_training/data_processing/data_analysis/parasect_performance.py,sha256=rHkS4YdAVg8IACJ67i8JX_jEbVpNCpWpqO4QyBw-NF4,3315
parasect/model_training/data_processing/data_analysis/summarise_crossvalidation.py,sha256=quvmUx-B3gxjwFb3TxXpElCzjrYNpFcU9QsEJKfgppg,5031
parasect/model_training/data_processing/data_analysis/taxonomic_distribution_sandpuma.py,sha256=y1SPimAsrYDzLsjWzZSUjL_XOkYihLwSEzwm8gJhnOo,956
parasect/model_training/data_processing/plotting/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
parasect/model_training/data_processing/plotting/confusion_matrix.py,sha256=dNeFrr1JAzkNWDWmNYbsa84ZBjVH_JPP2IuNRbB-cxc,1302
parasect/model_training/data_processing/plotting/plot_violins.py,sha256=0XsT4l_0ufRbll2K8EVGyvQgUn2ECRnFH5C7qM6QjR0,6242
parasect/model_training/data_processing/taxonomy/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
parasect/model_training/data_processing/taxonomy/add_species_and_strains.py,sha256=VxDLIByEFyHn9BLqGnLrIKGNVSlveOlakxg6XgqYjFY,2337
parasect/model_training/data_processing/taxonomy/condense_taxonomy.py,sha256=VX9VFT4YdFchDuxc9SlJMc68B8lFUQfNGnEQSZPhgKI,2605
parasect/model_training/data_processing/taxonomy/get_rank.py,sha256=WHhBgO_zDUfSzgwTiF2QDuIoGBZ97GWI4vuTZYSDIoI,17214
parasect/model_training/data_processing/taxonomy/get_species.py,sha256=X9meLKS99ygXHSub-yp4jz1NbpeNttKwAX6WzSj_2gk,5236
parasect/model_training/data_processing/taxonomy/get_taxonomy.py,sha256=JgQLZb74WW_hcxEIwDBa3F74x4PtLXuXwCctCmqK-aI,5060
parasect/model_training/data_processing/taxonomy/map_taxonomy_to_all_synonyms.py,sha256=BThJb8lHvmTVzKyiHL_CnslBhpvzr9ZeVh3EMo0xnIw,2799
parasect/model_training/data_processing/taxonomy/split_by_clade.py,sha256=pOTpBK-ve71AvFOridJQW0-AF7yHIbk0ft9uTt4q1dY,2826
parasect/model_training/data_processing/taxonomy/split_fungal_bacterial.py,sha256=da_G_cNfwizqfCVHAkhaYpTH-oFs9RddJjvJRn0Pi2k,1875
parasect/model_training/pca/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
parasect/model_training/pca/apply_pca.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
parasect/model_training/pca/build_pca.py,sha256=JaAYLE7qj6TnSDR30txvkMB6khpnI2OQ9Cx81_1joXQ,2693
parasect/model_training/pca/visualize_pca.py,sha256=A2ZOWhYstLQ695T4m_A4z_RFdOmQuxJ6oA75sSTcINE,12067
parasect/model_training/rf/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
parasect/model_training/rf/crossvalidation.py,sha256=z_lo3p4y5vIVwmXD0FqX8xNRm5tNdVeI7QnYk_ERiBM,8854
parasect/model_training/rf/test_rf.py,sha256=OFXYRYuZYlzCTf148YtHZ0bO-uaTTmpErCZ_B69z00o,21406
parasect/model_training/rf/train_rf.py,sha256=pt1OJF14AbJnZT1Q7GRrMFA_nRhiECPjcz24p4B_ka0,20946
parasect/model_training/train_test_splits/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
parasect/model_training/train_test_splits/crossvalidation.py,sha256=5U92q4r2el4y63-N5qzmI9B2d21jjwUE0FUNFyfEKOU,2399
parasect/model_training/train_test_splits/domain_scope.py,sha256=CU2GYeY-AR_Ghp0vO29AfBdV_-mFpO7d-rCmfH2bfW0,932
parasect/model_training/train_test_splits/multilabel_stratification.py,sha256=E-7aPEBOWjp6BBCa1DoAXGTnfQUkSuhHT33JpuFJGnU,261
parasect/model_training/train_test_splits/split_on_rank.py,sha256=2sJB4BNcNyaR41mnpZHmmpLA_Q0rh3UB3C4fv-K5zPM,24534
parasect/model_training/train_test_splits/split_on_substrate.py,sha256=7qaA6XmzvL9EVSowR-lcqljmKQ9DKgnsKInng0XZ5e0,7986
parasect/model_training/train_test_splits/substrate_selection.py,sha256=7S1PCRS6X2UVYXy1RhcnQ1_87RStiWjxZpo8bEVf7FM,7204
paras-2.0.0.dist-info/METADATA,sha256=WIqYmQfuRlhmxy60QXvFXnI3IPqTxVI67t8kWqhsyOE,2746
paras-2.0.0.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91
paras-2.0.0.dist-info/entry_points.txt,sha256=mYWEnzGMTfzVRtQOspwF5bat2D-qYfVQFFSOoFFP0N8,88
paras-2.0.0.dist-info/top_level.txt,sha256=_bssYRph2C1h-j0Obvt0mpxSwT0MR6z8zs60ohIYTmQ,9
paras-2.0.0.dist-info/RECORD,,
