| +1 Models | |
|---|---|
| comments | using training data negative distributions |
| est_tot_correct | 0.0 |
| num_iterations | 21 |
| prior_probability | 0.000 |
| tot_num_spectra | 0 |
| Comet discrim score [fval] negmean: 1.00 | |
| pos model | gaussian (mean 2.00, stdev 0.40) |
| neg model | gaussian (mean 0.00, stdev 3.16) |
| no. tolerable trypsin term. [ntt] | |
| pos model | (ntt=0 0.333, ntt=1 0.333, ntt=2 0.333) |
| neg model | (ntt=0 0.333, ntt=1 0.333, ntt=2 0.333) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.333, 1<=nmc<=2 0.333, nmc>=3 0.333) |
| neg model | (nmc=0 0.333, 1<=nmc<=2 0.333, nmc>=3 0.333) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010877 |
| pos_bandwidth | 0.010877 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.143, -2 0.143, -1 0.143, 0 0.143, 1 0.143, 2 0.143, 3 0.143) |
| neg model | (-3 0.143, -2 0.143, -1 0.143, 0 0.143, 1 0.143, 2 0.143, 3 0.143) |
| +2 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 14482.0 |
| num_iterations | 27 |
| prior_probability | 0.412 |
| tot_num_spectra | 54763 |
| Comet discrim score [fval] negmean: -2.08 | |
| pos model | gaussian (mean 2.49, stdev 2.09) |
| neg model | gaussian (mean -1.09, stdev 1.00) |
| no. tolerable trypsin term. [ntt] | |
| pos model | (ntt=0 0.000, ntt=1 0.000, ntt=2 1.000) |
| neg model | (ntt=0 0.001, ntt=1 0.023, ntt=2 0.977) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.925, 1<=nmc<=2 0.075, nmc>=3 0.000) |
| neg model | (nmc=0 0.504, 1<=nmc<=2 0.494, nmc>=3 0.001) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010877 |
| pos_bandwidth | 0.010877 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.040, 0 0.862, 1 0.092, 2 0.006, 3 0.000) |
| neg model | (-3 0.000, -2 0.000, -1 0.283, 0 0.319, 1 0.173, 2 0.125, 3 0.100) |
| +3 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 5988.1 |
| num_iterations | 28 |
| prior_probability | 0.391 |
| tot_num_spectra | 24387 |
| Comet discrim score [fval] negmean: -1.64 | |
| pos model | gaussian (mean 3.90, stdev 2.34) |
| neg model | gaussian (mean -0.59, stdev 1.06) |
| no. tolerable trypsin term. [ntt] | |
| pos model | (ntt=0 0.000, ntt=1 0.000, ntt=2 1.000) |
| neg model | (ntt=0 0.000, ntt=1 0.023, ntt=2 0.977) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.768, 1<=nmc<=2 0.232, nmc>=3 0.000) |
| neg model | (nmc=0 0.279, 1<=nmc<=2 0.712, nmc>=3 0.009) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010877 |
| pos_bandwidth | 0.010877 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.027, 0 0.776, 1 0.143, 2 0.044, 3 0.010) |
| neg model | (-3 0.000, -2 0.000, -1 0.227, 0 0.225, 1 0.196, 2 0.180, 3 0.172) |
| +4 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 825.3 |
| num_iterations | 27 |
| prior_probability | 0.270 |
| tot_num_spectra | 5164 |
| Comet discrim score [fval] negmean: -2.06 | |
| pos model | gaussian (mean 1.86, stdev 1.50) |
| neg model | gaussian (mean -1.23, stdev 0.82) |
| no. tolerable trypsin term. [ntt] | |
| pos model | (ntt=0 0.000, ntt=1 0.000, ntt=2 1.000) |
| neg model | (ntt=0 0.000, ntt=1 0.022, ntt=2 0.978) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.566, 1<=nmc<=2 0.434, nmc>=3 0.000) |
| neg model | (nmc=0 0.200, 1<=nmc<=2 0.783, nmc>=3 0.017) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010877 |
| pos_bandwidth | 0.010877 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.016, 0 0.828, 1 0.127, 2 0.023, 3 0.005) |
| neg model | (-3 0.000, -2 0.000, -1 0.228, 0 0.213, 1 0.208, 2 0.181, 3 0.170) |
| +5 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 103.2 |
| num_iterations | 28 |
| prior_probability | 0.128 |
| tot_num_spectra | 1568 |
| Comet discrim score [fval] negmean: -2.90 | |
| pos model | gaussian (mean 1.53, stdev 1.44) |
| neg model | gaussian (mean -1.74, stdev 1.16) |
| no. tolerable trypsin term. [ntt] | |
| pos model | (ntt=0 0.000, ntt=1 0.000, ntt=2 1.000) |
| neg model | (ntt=0 0.000, ntt=1 0.021, ntt=2 0.979) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.351, 1<=nmc<=2 0.649, nmc>=3 0.000) |
| neg model | (nmc=0 0.158, 1<=nmc<=2 0.822, nmc>=3 0.020) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010877 |
| pos_bandwidth | 0.010877 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.006, 0 0.860, 1 0.107, 2 0.016, 3 0.011) |
| neg model | (-3 0.000, -2 0.000, -1 0.208, 0 0.202, 1 0.206, 2 0.200, 3 0.183) |
| +6 Models | |
| comments | using training data negative distributions |
| est_tot_correct | 0.0 |
| num_iterations | 21 |
| prior_probability | 0.000 |
| tot_num_spectra | 0 |
| Comet discrim score [fval] negmean: -5.00 | |
| pos model | gaussian (mean 4.56, stdev 1.24) |
| neg model | gaussian (mean 0.00, stdev 3.16) |
| no. tolerable trypsin term. [ntt] | |
| pos model | (ntt=0 0.333, ntt=1 0.333, ntt=2 0.333) |
| neg model | (ntt=0 0.333, ntt=1 0.333, ntt=2 0.333) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.333, 1<=nmc<=2 0.333, nmc>=3 0.333) |
| neg model | (nmc=0 0.333, 1<=nmc<=2 0.333, nmc>=3 0.333) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010877 |
| pos_bandwidth | 0.010877 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.143, -2 0.143, -1 0.143, 0 0.143, 1 0.143, 2 0.143, 3 0.143) |
| neg model | (-3 0.143, -2 0.143, -1 0.143, 0 0.143, 1 0.143, 2 0.143, 3 0.143) |
| +7 Models | |
| comments | using training data negative distributions |
| est_tot_correct | 0.0 |
| num_iterations | 21 |
| prior_probability | 0.000 |
| tot_num_spectra | 0 |
| Comet discrim score [fval] negmean: -5.00 | |
| pos model | gaussian (mean 4.56, stdev 1.24) |
| neg model | gaussian (mean 0.00, stdev 3.16) |
| no. tolerable trypsin term. [ntt] | |
| pos model | (ntt=0 0.333, ntt=1 0.333, ntt=2 0.333) |
| neg model | (ntt=0 0.333, ntt=1 0.333, ntt=2 0.333) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.333, 1<=nmc<=2 0.333, nmc>=3 0.333) |
| neg model | (nmc=0 0.333, 1<=nmc<=2 0.333, nmc>=3 0.333) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010877 |
| pos_bandwidth | 0.010877 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.143, -2 0.143, -1 0.143, 0 0.143, 1 0.143, 2 0.143, 3 0.143) |
| neg model | (-3 0.143, -2 0.143, -1 0.143, 0 0.143, 1 0.143, 2 0.143, 3 0.143) |
| MS run: /home/sean/Documents/proteome/20161205_Sample_43A | |
|---|---|
| msManufacturer | Thermo |
| msModel | Orbitrap Fusion Lumos |
| raw_data | .mzXML |
| raw_data_type | raw |
| sample_enzyme | |
| name | trypsin |
| specificity | cut: KR no_cut: P sense: C |
| search_summary | |
| base_name | /home/sean/Documents/proteome/20161205_Sample_43A |
| fragment_mass_type | monoisotopic |
| precursor_mass_type | monoisotopic |
| search_engine | Comet |
| search_engine_version | 2016.01 rev. 2 |
| search_id | 1 |
| search_database | |
| local_path | Cg-Giga_cont_AA.fa |
| type | AA |
| enzymatic_search_constraint | |
| enzyme | Trypsin |
| max_num_internal_cleavages | 2 |
| min_number_termini | 2 |
| Aminoacid and Terminal Modifications | |
| M | mass: 147.035385 massdiff: 15.994900 symbol: * variable: Y |
| C | mass: 160.030649 massdiff: 57.021464 variable: N |
| Search Parameters | |
| # comet_version | 2016.01 rev. 0 |
| activation_method | ALL |
| add_A_alanine | 0.000000 |
| add_B_user_amino_acid | 0.000000 |
| add_C_cysteine | 57.021464 |
| add_Cterm_peptide | 0.000000 |
| add_Cterm_protein | 0.000000 |
| add_D_aspartic_acid | 0.000000 |
| add_E_glutamic_acid | 0.000000 |
| add_F_phenylalanine | 0.000000 |
| add_G_glycine | 0.000000 |
| add_H_histidine | 0.000000 |
| add_I_isoleucine | 0.000000 |
| add_J_user_amino_acid | 0.000000 |
| add_K_lysine | 0.000000 |
| add_L_leucine | 0.000000 |
| add_M_methionine | 0.000000 |
| add_N_asparagine | 0.000000 |
| add_Nterm_peptide | 0.000000 |
| add_Nterm_protein | 0.000000 |
| add_O_ornithine | 0.000000 |
| add_P_proline | 0.000000 |
| add_Q_glutamine | 0.000000 |
| add_R_arginine | 0.000000 |
| add_S_serine | 0.000000 |
| add_T_threonine | 0.000000 |
| add_U_celenocysteinee | 0.000000 |
| add_V_valine | 0.000000 |
| add_W_tryptophan | 0.000000 |
| add_X_user_amino_acid | 0.000000 |
| add_Y_tyrosine | 0.000000 |
| add_Z_user_amino_acid | 0.000000 |
| allowed_missed_cleavage | 2 |
| clear_mz_range | 0.000000 0.000000 |
| clip_nterm_methionine | 0 |
| database_name | Cg-Giga_cont_AA.fa |
| decoy_prefix | DECOY_ |
| decoy_search | 1 |
| digest_mass_range | 600.000000 5000.000000 |
| fragment_bin_offset | 0.400000 |
| fragment_bin_tol | 1.000500 |
| isotope_error | 1 |
| mass_offsets | |
| mass_type_fragment | 1 |
| mass_type_parent | 1 |
| max_fragment_charge | 3 |
| max_precursor_charge | 6 |
| max_variable_mods_in_peptide | 5 |
| minimum_intensity | 0 |
| minimum_peaks | 10 |
| ms_level | 2 |
| nucleotide_reading_frame | 0 |
| num_enzyme_termini | 2 |
| num_output_lines | 5 |
| num_results | 100 |
| num_threads | 8 |
| output_outfiles | 0 |
| output_pepxmlfile | 1 |
| output_percolatorfile | 0 |
| output_sqtfile | 0 |
| output_sqtstream | 0 |
| output_suffix | |
| output_txtfile | 0 |
| override_charge | 0 |
| peptide_mass_tolerance | 20.000000 |
| peptide_mass_units | 2 |
| precursor_charge | 0 0 |
| precursor_tolerance_type | 1 |
| print_expect_score | 1 |
| remove_precursor_peak | 0 |
| remove_precursor_tolerance | 1.500000 |
| require_variable_mod | 0 |
| sample_enzyme_number | 1 |
| scan_range | 0 0 |
| search_enzyme_number | 1 |
| show_fragment_ions | 0 |
| skip_researching | 1 |
| spectrum_batch_size | 0 |
| theoretical_fragment_ions | 1 |
| use_A_ions | 0 |
| use_B_ions | 1 |
| use_C_ions | 0 |
| use_NL_ions | 0 |
| use_X_ions | 0 |
| use_Y_ions | 1 |
| use_Z_ions | 0 |
| variable_mod01 | 15.994900 M 0 3 -1 0 0 |
| variable_mod02 | 0.000000 X 0 3 -1 0 0 |
| variable_mod03 | 0.000000 X 0 3 -1 0 0 |
| variable_mod04 | 0.000000 X 0 3 -1 0 0 |
| variable_mod05 | 0.000000 X 0 3 -1 0 0 |
| variable_mod06 | 0.000000 X 0 3 -1 0 0 |
| variable_mod07 | 0.000000 X 0 3 -1 0 0 |
| variable_mod08 | 0.000000 X 0 3 -1 0 0 |
| variable_mod09 | 0.000000 X 0 3 -1 0 0 |
| Analysis Timestamps | |
| peptideprophet | 2017-02-20T14:08:18 (id: 1) |
| database_refresh | 2017-02-20T14:08:08 (id: 1) |
| database | Cg-Giga_cont_AA.fa |
| min_num_enz_term | 0 |
| Predicted Sensitivity and Error Rate | ||||
| min_prob | Sensitivity | Error_Rate | num_correct | num_incorrect |
|---|---|---|---|---|
| 0.9999 | 0.4697 | 0.0000 | 10051 | 0 |
| 0.9990 | 0.5534 | 0.0001 | 11841 | 1 |
| 0.9900 | 0.6592 | 0.0007 | 14107 | 10 |
| 0.9800 | 0.6941 | 0.0014 | 14854 | 21 |
| 0.9500 | 0.7469 | 0.0038 | 15983 | 60 |
| 0.9000 | 0.7910 | 0.0079 | 16927 | 135 |
| 0.8500 | 0.8204 | 0.0126 | 17554 | 224 |
| 0.8000 | 0.8438 | 0.0180 | 18056 | 330 |
| 0.7500 | 0.8625 | 0.0236 | 18456 | 446 |
| 0.7000 | 0.8776 | 0.0294 | 18780 | 569 |
| 0.6500 | 0.8929 | 0.0366 | 19107 | 726 |
| 0.6000 | 0.9062 | 0.0442 | 19392 | 898 |
| 0.5500 | 0.9206 | 0.0540 | 19699 | 1125 |
| 0.5000 | 0.9329 | 0.0640 | 19963 | 1365 |
| 0.4500 | 0.9435 | 0.0740 | 20190 | 1614 |
| 0.4000 | 0.9507 | 0.0822 | 20345 | 1823 |
| 0.3500 | 0.9570 | 0.0909 | 20479 | 2047 |
| 0.3000 | 0.9624 | 0.1000 | 20594 | 2287 |
| 0.2500 | 0.9678 | 0.1112 | 20709 | 2591 |
| 0.2000 | 0.9732 | 0.1258 | 20826 | 2998 |
| 0.1500 | 0.9793 | 0.1468 | 20955 | 3606 |
| 0.1000 | 0.9856 | 0.1785 | 21091 | 4583 |
| 0.0500 | 0.9928 | 0.2352 | 21244 | 6532 |
| 0.0000 | 1.0000 | 0.7508 | 21399 | 64483 |
| +2 only | ||||
| 0.9999 | 0.4436 | 0.0000 | 6425 | 0 |
| 0.9990 | 0.5307 | 0.0001 | 7686 | 1 |
| 0.9900 | 0.6414 | 0.0008 | 9289 | 7 |
| 0.9800 | 0.6763 | 0.0015 | 9794 | 15 |
| 0.9500 | 0.7317 | 0.0040 | 10596 | 42 |
| 0.9000 | 0.7791 | 0.0085 | 11282 | 97 |
| 0.8500 | 0.8105 | 0.0135 | 11737 | 161 |
| 0.8000 | 0.8351 | 0.0192 | 12093 | 237 |
| 0.7500 | 0.8550 | 0.0252 | 12382 | 320 |
| 0.7000 | 0.8716 | 0.0316 | 12622 | 412 |
| 0.6500 | 0.8885 | 0.0395 | 12868 | 529 |
| 0.6000 | 0.9028 | 0.0476 | 13074 | 654 |
| 0.5500 | 0.9186 | 0.0583 | 13304 | 824 |
| 0.5000 | 0.9318 | 0.0689 | 13495 | 998 |
| 0.4500 | 0.9432 | 0.0795 | 13660 | 1179 |
| 0.4000 | 0.9510 | 0.0882 | 13772 | 1332 |
| 0.3500 | 0.9578 | 0.0974 | 13871 | 1496 |
| 0.3000 | 0.9630 | 0.1060 | 13947 | 1654 |
| 0.2500 | 0.9683 | 0.1169 | 14023 | 1856 |
| 0.2000 | 0.9733 | 0.1302 | 14096 | 2110 |
| 0.1500 | 0.9794 | 0.1509 | 14184 | 2521 |
| 0.1000 | 0.9857 | 0.1822 | 14275 | 3181 |
| 0.0500 | 0.9931 | 0.2402 | 14382 | 4547 |
| 0.0000 | 1.0000 | 0.7356 | 14482 | 40281 |
| +3 only | ||||
| 0.9999 | 0.5439 | 0.0000 | 3257 | 0 |
| 0.9990 | 0.6170 | 0.0001 | 3695 | 0 |
| 0.9900 | 0.7088 | 0.0006 | 4244 | 3 |
| 0.9800 | 0.7432 | 0.0012 | 4450 | 6 |
| 0.9500 | 0.7892 | 0.0032 | 4726 | 15 |
| 0.9000 | 0.8247 | 0.0064 | 4938 | 32 |
| 0.8500 | 0.8487 | 0.0102 | 5082 | 52 |
| 0.8000 | 0.8689 | 0.0148 | 5203 | 78 |
| 0.7500 | 0.8857 | 0.0198 | 5304 | 107 |
| 0.7000 | 0.8971 | 0.0241 | 5372 | 133 |
| 0.6500 | 0.9080 | 0.0293 | 5437 | 164 |
| 0.6000 | 0.9191 | 0.0357 | 5504 | 204 |
| 0.5500 | 0.9292 | 0.0428 | 5564 | 249 |
| 0.5000 | 0.9399 | 0.0516 | 5629 | 306 |
| 0.4500 | 0.9490 | 0.0605 | 5683 | 366 |
| 0.4000 | 0.9547 | 0.0673 | 5717 | 412 |
| 0.3500 | 0.9592 | 0.0739 | 5744 | 458 |
| 0.3000 | 0.9644 | 0.0829 | 5775 | 522 |
| 0.2500 | 0.9694 | 0.0939 | 5805 | 602 |
| 0.2000 | 0.9752 | 0.1100 | 5840 | 721 |
| 0.1500 | 0.9807 | 0.1300 | 5872 | 878 |
| 0.1000 | 0.9866 | 0.1609 | 5908 | 1133 |
| 0.0500 | 0.9926 | 0.2110 | 5944 | 1589 |
| 0.0000 | 1.0000 | 0.7545 | 5988 | 18399 |
| +4 only | ||||
| 0.9999 | 0.4229 | 0.0000 | 349 | 0 |
| 0.9990 | 0.5282 | 0.0001 | 436 | 0 |
| 0.9900 | 0.6489 | 0.0009 | 536 | 0 |
| 0.9800 | 0.6847 | 0.0017 | 565 | 1 |
| 0.9500 | 0.7351 | 0.0039 | 607 | 2 |
| 0.9000 | 0.7833 | 0.0086 | 646 | 6 |
| 0.8500 | 0.8141 | 0.0135 | 672 | 9 |
| 0.8000 | 0.8382 | 0.0188 | 692 | 13 |
| 0.7500 | 0.8504 | 0.0225 | 702 | 16 |
| 0.7000 | 0.8636 | 0.0276 | 713 | 20 |
| 0.6500 | 0.8826 | 0.0365 | 728 | 28 |
| 0.6000 | 0.8939 | 0.0431 | 738 | 33 |
| 0.5500 | 0.9098 | 0.0543 | 751 | 43 |
| 0.5000 | 0.9188 | 0.0615 | 758 | 50 |
| 0.4500 | 0.9253 | 0.0676 | 764 | 55 |
| 0.4000 | 0.9315 | 0.0749 | 769 | 62 |
| 0.3500 | 0.9392 | 0.0860 | 775 | 73 |
| 0.3000 | 0.9454 | 0.0969 | 780 | 84 |
| 0.2500 | 0.9541 | 0.1153 | 787 | 103 |
| 0.2000 | 0.9632 | 0.1397 | 795 | 129 |
| 0.1500 | 0.9713 | 0.1667 | 802 | 160 |
| 0.1000 | 0.9802 | 0.2093 | 809 | 214 |
| 0.0500 | 0.9894 | 0.2755 | 817 | 310 |
| 0.0000 | 1.0000 | 0.8402 | 825 | 4339 |
| +5 only | ||||
| 0.9999 | 0.1937 | 0.0000 | 20 | 0 |
| 0.9990 | 0.2325 | 0.0001 | 24 | 0 |
| 0.9900 | 0.3675 | 0.0017 | 38 | 0 |
| 0.9800 | 0.4248 | 0.0034 | 44 | 0 |
| 0.9500 | 0.5273 | 0.0103 | 54 | 1 |
| 0.9000 | 0.5816 | 0.0158 | 60 | 1 |
| 0.8500 | 0.6158 | 0.0220 | 64 | 1 |
| 0.8000 | 0.6560 | 0.0325 | 68 | 2 |
| 0.7500 | 0.6638 | 0.0350 | 69 | 2 |
| 0.7000 | 0.7066 | 0.0527 | 73 | 4 |
| 0.6500 | 0.7197 | 0.0596 | 74 | 5 |
| 0.6000 | 0.7438 | 0.0749 | 77 | 6 |
| 0.5500 | 0.7773 | 0.0985 | 80 | 9 |
| 0.5000 | 0.7923 | 0.1111 | 82 | 10 |
| 0.4500 | 0.8150 | 0.1326 | 84 | 13 |
| 0.4000 | 0.8440 | 0.1623 | 87 | 17 |
| 0.3500 | 0.8618 | 0.1838 | 89 | 20 |
| 0.3000 | 0.8929 | 0.2255 | 92 | 27 |
| 0.2500 | 0.9059 | 0.2459 | 94 | 30 |
| 0.2000 | 0.9253 | 0.2818 | 96 | 37 |
| 0.1500 | 0.9439 | 0.3233 | 97 | 47 |
| 0.1000 | 0.9563 | 0.3590 | 99 | 55 |
| 0.0500 | 0.9790 | 0.4596 | 101 | 86 |
| 0.0000 | 1.0000 | 0.9342 | 103 | 1465 |
| Error Table | |||
| Error_Rate | min_prob | num_correct | num_incorrect |
|---|---|---|---|
| 0.0000 | 1.0000 | 3824 | 0 |
| 0.0001 | 0.9987 | 12042 | 1 |
| 0.0002 | 0.9973 | 12734 | 3 |
| 0.0003 | 0.9959 | 13146 | 4 |
| 0.0004 | 0.9946 | 13450 | 5 |
| 0.0005 | 0.9932 | 13690 | 7 |
| 0.0006 | 0.9918 | 13887 | 8 |
| 0.0007 | 0.9905 | 14055 | 10 |
| 0.0008 | 0.9890 | 14203 | 11 |
| 0.0009 | 0.9876 | 14332 | 13 |
| 0.0010 | 0.9863 | 14450 | 14 |
| 0.0015 | 0.9790 | 14907 | 22 |
| 0.0020 | 0.9722 | 15234 | 31 |
| 0.0025 | 0.9656 | 15494 | 39 |
| 0.0030 | 0.9589 | 15710 | 47 |
| 0.0040 | 0.9471 | 16061 | 65 |
| 0.0050 | 0.9340 | 16340 | 82 |
| 0.0060 | 0.9219 | 16572 | 100 |
| 0.0070 | 0.9098 | 16770 | 118 |
| 0.0080 | 0.8987 | 16943 | 137 |
| 0.0090 | 0.8881 | 17100 | 155 |
| 0.0100 | 0.8779 | 17242 | 174 |
| 0.0150 | 0.8255 | 17803 | 271 |
| 0.0200 | 0.7800 | 18214 | 372 |
| 0.0250 | 0.7372 | 18541 | 476 |
| 0.0300 | 0.6956 | 18811 | 582 |
| 0.0400 | 0.6258 | 19242 | 802 |
| 0.0500 | 0.5699 | 19580 | 1031 |
| 0.0750 | 0.4447 | 20211 | 1640 |
| 0.1000 | 0.2998 | 20595 | 2289 |
| +2 only | |||
| 0.0000 | 1.0000 | 2594 | 0 |
| 0.0001 | 0.9988 | 7770 | 1 |
| 0.0002 | 0.9975 | 8269 | 2 |
| 0.0003 | 0.9961 | 8562 | 3 |
| 0.0004 | 0.9950 | 8774 | 4 |
| 0.0005 | 0.9936 | 8945 | 4 |
| 0.0006 | 0.9923 | 9084 | 5 |
| 0.0007 | 0.9910 | 9202 | 6 |
| 0.0008 | 0.9898 | 9306 | 7 |
| 0.0009 | 0.9883 | 9398 | 8 |
| 0.0010 | 0.9870 | 9479 | 10 |
| 0.0015 | 0.9799 | 9797 | 15 |
| 0.0020 | 0.9736 | 10025 | 20 |
| 0.0025 | 0.9677 | 10207 | 26 |
| 0.0030 | 0.9617 | 10360 | 31 |
| 0.0040 | 0.9495 | 10607 | 43 |
| 0.0050 | 0.9372 | 10803 | 54 |
| 0.0060 | 0.9264 | 10965 | 66 |
| 0.0070 | 0.9147 | 11106 | 78 |
| 0.0080 | 0.9040 | 11228 | 91 |
| 0.0090 | 0.8949 | 11340 | 103 |
| 0.0100 | 0.8845 | 11441 | 116 |
| 0.0150 | 0.8359 | 11843 | 181 |
| 0.0200 | 0.7924 | 12138 | 248 |
| 0.0250 | 0.7518 | 12373 | 318 |
| 0.0300 | 0.7108 | 12568 | 389 |
| 0.0400 | 0.6469 | 12882 | 537 |
| 0.0500 | 0.5873 | 13129 | 691 |
| 0.0750 | 0.4721 | 13595 | 1103 |
| 0.1000 | 0.3328 | 13896 | 1545 |
| +3 only | |||
| 0.0000 | 1.0000 | 1063 | 0 |
| 0.0001 | 0.9982 | 3801 | 0 |
| 0.0002 | 0.9965 | 3964 | 1 |
| 0.0003 | 0.9951 | 4067 | 1 |
| 0.0004 | 0.9933 | 4143 | 2 |
| 0.0005 | 0.9915 | 4201 | 2 |
| 0.0006 | 0.9899 | 4249 | 3 |
| 0.0007 | 0.9884 | 4291 | 3 |
| 0.0008 | 0.9869 | 4328 | 3 |
| 0.0009 | 0.9853 | 4360 | 4 |
| 0.0010 | 0.9841 | 4391 | 4 |
| 0.0015 | 0.9754 | 4507 | 7 |
| 0.0020 | 0.9664 | 4588 | 9 |
| 0.0025 | 0.9583 | 4651 | 12 |
| 0.0030 | 0.9524 | 4705 | 14 |
| 0.0040 | 0.9377 | 4794 | 19 |
| 0.0050 | 0.9215 | 4863 | 25 |
| 0.0060 | 0.9054 | 4919 | 30 |
| 0.0070 | 0.8912 | 4967 | 35 |
| 0.0080 | 0.8788 | 5007 | 41 |
| 0.0090 | 0.8666 | 5044 | 46 |
| 0.0100 | 0.8540 | 5078 | 51 |
| 0.0150 | 0.7962 | 5209 | 80 |
| 0.0200 | 0.7488 | 5308 | 109 |
| 0.0250 | 0.6886 | 5385 | 139 |
| 0.0300 | 0.6459 | 5446 | 169 |
| 0.0400 | 0.5695 | 5543 | 231 |
| 0.0500 | 0.5088 | 5618 | 297 |
| 0.0750 | 0.3435 | 5749 | 467 |
| 0.1000 | 0.2288 | 5819 | 648 |
| +4 only | |||
| 0.0000 | 1.0000 | 151 | 0 |
| 0.0001 | 0.9991 | 433 | 0 |
| 0.0002 | 0.9977 | 466 | 0 |
| 0.0003 | 0.9964 | 484 | 0 |
| 0.0004 | 0.9951 | 497 | 0 |
| 0.0005 | 0.9943 | 507 | 0 |
| 0.0006 | 0.9931 | 516 | 0 |
| 0.0007 | 0.9919 | 523 | 0 |
| 0.0008 | 0.9910 | 530 | 0 |
| 0.0009 | 0.9903 | 536 | 0 |
| 0.0010 | 0.9874 | 540 | 1 |
| 0.0015 | 0.9816 | 560 | 1 |
| 0.0020 | 0.9770 | 575 | 1 |
| 0.0025 | 0.9698 | 586 | 2 |
| 0.0030 | 0.9585 | 596 | 2 |
| 0.0040 | 0.9496 | 609 | 3 |
| 0.0050 | 0.9351 | 621 | 3 |
| 0.0060 | 0.9226 | 629 | 4 |
| 0.0070 | 0.9126 | 637 | 5 |
| 0.0080 | 0.9072 | 644 | 5 |
| 0.0090 | 0.8923 | 651 | 6 |
| 0.0100 | 0.8844 | 656 | 7 |
| 0.0150 | 0.8356 | 679 | 11 |
| 0.0200 | 0.7846 | 696 | 15 |
| 0.0250 | 0.7266 | 708 | 19 |
| 0.0300 | 0.6919 | 718 | 23 |
| 0.0400 | 0.6220 | 735 | 31 |
| 0.0500 | 0.5653 | 747 | 40 |
| 0.0750 | 0.3968 | 770 | 63 |
| 0.1000 | 0.2931 | 782 | 88 |
| +5 only | |||
| 0.0000 | 0.9998 | 22 | 0 |
| 0.0001 | 0.9990 | 25 | 0 |
| 0.0002 | 0.9986 | 27 | 0 |
| 0.0003 | 0.9978 | 29 | 0 |
| 0.0004 | 0.9971 | 31 | 0 |
| 0.0005 | 0.9970 | 32 | 0 |
| 0.0006 | 0.9958 | 33 | 0 |
| 0.0007 | 0.9944 | 34 | 0 |
| 0.0008 | 0.9944 | 34 | 0 |
| 0.0009 | 0.9934 | 35 | 0 |
| 0.0010 | 0.9929 | 36 | 0 |
| 0.0015 | 0.9927 | 38 | 0 |
| 0.0020 | 0.9869 | 41 | 0 |
| 0.0025 | 0.9867 | 42 | 0 |
| 0.0030 | 0.9831 | 44 | 0 |
| 0.0040 | 0.9676 | 47 | 0 |
| 0.0050 | 0.9662 | 48 | 0 |
| 0.0060 | 0.9652 | 50 | 0 |
| 0.0070 | 0.9586 | 52 | 0 |
| 0.0080 | 0.9583 | 53 | 0 |
| 0.0090 | 0.9549 | 54 | 1 |
| 0.0100 | 0.9540 | 55 | 1 |
| 0.0150 | 0.9015 | 61 | 1 |
| 0.0200 | 0.8755 | 64 | 1 |
| 0.0250 | 0.8446 | 66 | 2 |
| 0.0300 | 0.8154 | 68 | 2 |
| 0.0400 | 0.7444 | 71 | 3 |
| 0.0500 | 0.7103 | 74 | 4 |
| 0.0750 | 0.5926 | 78 | 7 |
| 0.1000 | 0.5158 | 81 | 10 |
| peptideprophet | |
|---|---|
| time | 2017-02-20T14:08:18 |
| author | AKeller@ISB |
| est_tot_num_correct | 21398.7 |
| min_prob | 0.90 |
| options | DECOY=DECOY_ MINPROB=0.9 ACCMASS |
| type | unlinked |
| version | PeptideProphet (TPP v5.0.0 Typhoon, Build 201612091438-exported (Linux-x86_64)) |
| inputfile | /home/sean/Documents/proteome/20161205_Sample_43A.pep.xml |
| database_refresh | |
| time | 2017-02-20T14:08:08 |
| interact | |
| time | 2017-02-20T14:07:29 |
| directory | /home/sean/Documents/proteome |
| filename | /home/sean/Documents/proteome/interact-20161205_Sample_43A.pep.xml |
| directory | /home/sean/Documents/proteome |
| inputfile | 20161205_Sample_43A.pep.xml |
| tpp_models | |
| time | Mon Feb 20 14:09:50 2017 |