| +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 | 0.010738 |
| pos_bandwidth | 0.010738 |
| 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 | 25570.8 |
| num_iterations | 27 |
| prior_probability | 0.679 |
| tot_num_spectra | 49043 |
| Comet discrim score [fval] negmean: -2.03 | |
| pos model | gaussian (mean 3.02, stdev 2.13) |
| neg model | gaussian (mean -0.94, stdev 1.09) |
| 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 0.024, ntt=2 0.976) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.933, 1<=nmc<=2 0.067, nmc>=3 0.000) |
| neg model | (nmc=0 0.482, 1<=nmc<=2 0.516, nmc>=3 0.002) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010738 |
| pos_bandwidth | 0.010738 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.032, 0 0.855, 1 0.103, 2 0.010, 3 0.000) |
| neg model | (-3 0.000, -2 0.000, -1 0.304, 0 0.316, 1 0.161, 2 0.119, 3 0.101) |
| +3 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 15108.3 |
| num_iterations | 26 |
| prior_probability | 0.580 |
| tot_num_spectra | 36588 |
| Comet discrim score [fval] negmean: -1.59 | |
| pos model | gaussian (mean 4.19, stdev 2.51) |
| neg model | gaussian (mean -0.50, stdev 1.09) |
| 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 0.825, 1<=nmc<=2 0.175, nmc>=3 0.000) |
| neg model | (nmc=0 0.283, 1<=nmc<=2 0.708, nmc>=3 0.009) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010738 |
| pos_bandwidth | 0.010738 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.020, 0 0.789, 1 0.142, 2 0.043, 3 0.007) |
| neg model | (-3 0.000, -2 0.000, -1 0.236, 0 0.229, 1 0.202, 2 0.172, 3 0.162) |
| +4 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 2774.2 |
| num_iterations | 27 |
| prior_probability | 0.503 |
| tot_num_spectra | 8050 |
| Comet discrim score [fval] negmean: -2.03 | |
| pos model | gaussian (mean 2.04, stdev 1.55) |
| neg model | gaussian (mean -1.23, stdev 0.81) |
| 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 0.697, 1<=nmc<=2 0.303, nmc>=3 0.000) |
| neg model | (nmc=0 0.190, 1<=nmc<=2 0.793, nmc>=3 0.017) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010738 |
| pos_bandwidth | 0.010738 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.012, 0 0.815, 1 0.139, 2 0.030, 3 0.004) |
| neg model | (-3 0.000, -2 0.000, -1 0.223, 0 0.215, 1 0.208, 2 0.182, 3 0.172) |
| +5 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 334.8 |
| num_iterations | 27 |
| prior_probability | 0.330 |
| tot_num_spectra | 1632 |
| Comet discrim score [fval] negmean: -2.92 | |
| pos model | gaussian (mean 2.09, stdev 1.45) |
| neg model | gaussian (mean -1.76, 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 0.028, ntt=2 0.972) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.584, 1<=nmc<=2 0.416, nmc>=3 0.000) |
| neg model | (nmc=0 0.170, 1<=nmc<=2 0.800, nmc>=3 0.030) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010738 |
| pos_bandwidth | 0.010738 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.005, 0 0.884, 1 0.100, 2 0.006, 3 0.004) |
| neg model | (-3 0.000, -2 0.000, -1 0.215, 0 0.186, 1 0.207, 2 0.193, 3 0.198) |
| +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 | 0.010738 |
| pos_bandwidth | 0.010738 |
| 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 | 0.010738 |
| pos_bandwidth | 0.010738 |
| 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_28A | |
|---|---|
| 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_28A |
| 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 | 2017-02-20T13:30:57 (id: 1) |
| database_refresh | 2017-02-20T13:30:46 (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 | 0.5492 | 0.0000 | 24047 | 0 |
| 0.9990 | 0.6351 | 0.0001 | 27812 | 2 |
| 0.9900 | 0.7408 | 0.0006 | 32438 | 21 |
| 0.9800 | 0.7752 | 0.0013 | 33945 | 43 |
| 0.9500 | 0.8267 | 0.0033 | 36200 | 120 |
| 0.9000 | 0.8692 | 0.0070 | 38059 | 267 |
| 0.8500 | 0.8954 | 0.0108 | 39207 | 428 |
| 0.8000 | 0.9137 | 0.0147 | 40007 | 598 |
| 0.7500 | 0.9299 | 0.0193 | 40719 | 803 |
| 0.7000 | 0.9430 | 0.0241 | 41292 | 1021 |
| 0.6500 | 0.9530 | 0.0286 | 41731 | 1230 |
| 0.6000 | 0.9587 | 0.0318 | 41981 | 1379 |
| 0.5500 | 0.9633 | 0.0349 | 42183 | 1527 |
| 0.5000 | 0.9676 | 0.0385 | 42367 | 1696 |
| 0.4500 | 0.9716 | 0.0426 | 42544 | 1893 |
| 0.4000 | 0.9753 | 0.0471 | 42706 | 2112 |
| 0.3500 | 0.9785 | 0.0519 | 42845 | 2344 |
| 0.3000 | 0.9815 | 0.0575 | 42977 | 2620 |
| 0.2500 | 0.9848 | 0.0651 | 43121 | 3001 |
| 0.2000 | 0.9878 | 0.0743 | 43255 | 3472 |
| 0.1500 | 0.9912 | 0.0879 | 43404 | 4180 |
| 0.1000 | 0.9942 | 0.1049 | 43533 | 5102 |
| 0.0500 | 0.9971 | 0.1341 | 43663 | 6760 |
| 0.0000 | 1.0000 | 0.5406 | 43788 | 51525 |
| +2 only | ||||
| 0.9999 | 0.5210 | 0.0000 | 13322 | 0 |
| 0.9990 | 0.6146 | 0.0001 | 15716 | 1 |
| 0.9900 | 0.7343 | 0.0007 | 18777 | 14 |
| 0.9800 | 0.7724 | 0.0014 | 19752 | 28 |
| 0.9500 | 0.8291 | 0.0037 | 21201 | 78 |
| 0.9000 | 0.8753 | 0.0076 | 22383 | 171 |
| 0.8500 | 0.9030 | 0.0116 | 23090 | 271 |
| 0.8000 | 0.9218 | 0.0156 | 23570 | 373 |
| 0.7500 | 0.9382 | 0.0202 | 23989 | 494 |
| 0.7000 | 0.9502 | 0.0245 | 24298 | 611 |
| 0.6500 | 0.9596 | 0.0287 | 24537 | 725 |
| 0.6000 | 0.9651 | 0.0317 | 24679 | 809 |
| 0.5500 | 0.9690 | 0.0344 | 24777 | 882 |
| 0.5000 | 0.9726 | 0.0374 | 24871 | 967 |
| 0.4500 | 0.9758 | 0.0407 | 24953 | 1058 |
| 0.4000 | 0.9788 | 0.0443 | 25028 | 1159 |
| 0.3500 | 0.9816 | 0.0486 | 25100 | 1281 |
| 0.3000 | 0.9842 | 0.0534 | 25166 | 1420 |
| 0.2500 | 0.9869 | 0.0599 | 25237 | 1607 |
| 0.2000 | 0.9894 | 0.0673 | 25299 | 1825 |
| 0.1500 | 0.9922 | 0.0787 | 25371 | 2168 |
| 0.1000 | 0.9951 | 0.0961 | 25446 | 2704 |
| 0.0500 | 0.9977 | 0.1222 | 25513 | 3551 |
| 0.0000 | 1.0000 | 0.4786 | 25571 | 23472 |
| +3 only | ||||
| 0.9999 | 0.5997 | 0.0000 | 9060 | 0 |
| 0.9990 | 0.6703 | 0.0001 | 10126 | 1 |
| 0.9900 | 0.7521 | 0.0005 | 11363 | 6 |
| 0.9800 | 0.7810 | 0.0010 | 11799 | 12 |
| 0.9500 | 0.8244 | 0.0027 | 12455 | 34 |
| 0.9000 | 0.8611 | 0.0059 | 13010 | 78 |
| 0.8500 | 0.8855 | 0.0096 | 13378 | 129 |
| 0.8000 | 0.9032 | 0.0135 | 13646 | 186 |
| 0.7500 | 0.9199 | 0.0183 | 13899 | 259 |
| 0.7000 | 0.9355 | 0.0241 | 14133 | 349 |
| 0.6500 | 0.9469 | 0.0292 | 14307 | 430 |
| 0.6000 | 0.9529 | 0.0325 | 14396 | 484 |
| 0.5500 | 0.9582 | 0.0362 | 14477 | 544 |
| 0.5000 | 0.9628 | 0.0401 | 14547 | 607 |
| 0.4500 | 0.9676 | 0.0449 | 14619 | 688 |
| 0.4000 | 0.9719 | 0.0502 | 14684 | 776 |
| 0.3500 | 0.9754 | 0.0554 | 14737 | 865 |
| 0.3000 | 0.9787 | 0.0613 | 14786 | 966 |
| 0.2500 | 0.9825 | 0.0702 | 14844 | 1120 |
| 0.2000 | 0.9863 | 0.0814 | 14901 | 1320 |
| 0.1500 | 0.9904 | 0.0975 | 14963 | 1617 |
| 0.1000 | 0.9932 | 0.1131 | 15005 | 1913 |
| 0.0500 | 0.9965 | 0.1449 | 15055 | 2550 |
| 0.0000 | 1.0000 | 0.5871 | 15108 | 21480 |
| +4 only | ||||
| 0.9999 | 0.5580 | 0.0000 | 1548 | 0 |
| 0.9990 | 0.6517 | 0.0001 | 1808 | 0 |
| 0.9900 | 0.7493 | 0.0006 | 2079 | 1 |
| 0.9800 | 0.7781 | 0.0011 | 2159 | 2 |
| 0.9500 | 0.8224 | 0.0029 | 2281 | 7 |
| 0.9000 | 0.8602 | 0.0062 | 2386 | 15 |
| 0.8500 | 0.8848 | 0.0098 | 2455 | 24 |
| 0.8000 | 0.9012 | 0.0134 | 2500 | 34 |
| 0.7500 | 0.9137 | 0.0171 | 2535 | 44 |
| 0.7000 | 0.9234 | 0.0208 | 2562 | 54 |
| 0.6500 | 0.9317 | 0.0247 | 2585 | 65 |
| 0.6000 | 0.9371 | 0.0278 | 2600 | 74 |
| 0.5500 | 0.9433 | 0.0322 | 2617 | 87 |
| 0.5000 | 0.9505 | 0.0384 | 2637 | 105 |
| 0.4500 | 0.9575 | 0.0456 | 2656 | 127 |
| 0.4000 | 0.9644 | 0.0540 | 2675 | 153 |
| 0.3500 | 0.9686 | 0.0602 | 2687 | 172 |
| 0.3000 | 0.9741 | 0.0701 | 2702 | 204 |
| 0.2500 | 0.9788 | 0.0808 | 2715 | 239 |
| 0.2000 | 0.9836 | 0.0944 | 2729 | 284 |
| 0.1500 | 0.9879 | 0.1110 | 2741 | 342 |
| 0.1000 | 0.9917 | 0.1318 | 2751 | 418 |
| 0.0500 | 0.9958 | 0.1692 | 2762 | 563 |
| 0.0000 | 1.0000 | 0.6554 | 2774 | 5276 |
| +5 only | ||||
| 0.9999 | 0.3495 | 0.0000 | 117 | 0 |
| 0.9990 | 0.4838 | 0.0001 | 162 | 0 |
| 0.9900 | 0.6535 | 0.0010 | 219 | 0 |
| 0.9800 | 0.7036 | 0.0019 | 236 | 0 |
| 0.9500 | 0.7846 | 0.0050 | 263 | 1 |
| 0.9000 | 0.8372 | 0.0097 | 280 | 3 |
| 0.8500 | 0.8501 | 0.0118 | 285 | 3 |
| 0.8000 | 0.8700 | 0.0160 | 291 | 5 |
| 0.7500 | 0.8839 | 0.0202 | 296 | 6 |
| 0.7000 | 0.8926 | 0.0234 | 299 | 7 |
| 0.6500 | 0.9046 | 0.0294 | 303 | 9 |
| 0.6000 | 0.9159 | 0.0358 | 307 | 11 |
| 0.5500 | 0.9298 | 0.0452 | 311 | 15 |
| 0.5000 | 0.9343 | 0.0493 | 313 | 16 |
| 0.4500 | 0.9442 | 0.0593 | 316 | 20 |
| 0.4000 | 0.9531 | 0.0698 | 319 | 24 |
| 0.3500 | 0.9575 | 0.0763 | 321 | 26 |
| 0.3000 | 0.9633 | 0.0865 | 322 | 31 |
| 0.2500 | 0.9692 | 0.0988 | 324 | 36 |
| 0.2000 | 0.9751 | 0.1153 | 326 | 43 |
| 0.1500 | 0.9818 | 0.1396 | 329 | 53 |
| 0.1000 | 0.9878 | 0.1691 | 331 | 67 |
| 0.0500 | 0.9943 | 0.2241 | 333 | 96 |
| 0.0000 | 1.0000 | 0.7949 | 335 | 1297 |
| Error Table | |||
| Error_Rate | min_prob | num_correct | num_incorrect |
|---|---|---|---|
| 0.0000 | 1.0000 | 7768 | 0 |
| 0.0001 | 0.9985 | 28466 | 3 |
| 0.0002 | 0.9970 | 29923 | 6 |
| 0.0003 | 0.9954 | 30783 | 9 |
| 0.0004 | 0.9938 | 31392 | 13 |
| 0.0005 | 0.9922 | 31875 | 16 |
| 0.0006 | 0.9907 | 32277 | 19 |
| 0.0007 | 0.9891 | 32618 | 23 |
| 0.0008 | 0.9875 | 32913 | 26 |
| 0.0009 | 0.9858 | 33174 | 30 |
| 0.0010 | 0.9843 | 33408 | 33 |
| 0.0015 | 0.9765 | 34321 | 52 |
| 0.0020 | 0.9692 | 34991 | 70 |
| 0.0025 | 0.9622 | 35525 | 89 |
| 0.0030 | 0.9542 | 35963 | 108 |
| 0.0040 | 0.9398 | 36668 | 147 |
| 0.0050 | 0.9259 | 37221 | 187 |
| 0.0060 | 0.9125 | 37681 | 228 |
| 0.0070 | 0.8994 | 38076 | 269 |
| 0.0080 | 0.8865 | 38424 | 310 |
| 0.0090 | 0.8730 | 38730 | 352 |
| 0.0100 | 0.8607 | 39005 | 394 |
| 0.0150 | 0.7970 | 40058 | 610 |
| 0.0200 | 0.7427 | 40806 | 833 |
| 0.0250 | 0.6918 | 41385 | 1062 |
| 0.0300 | 0.6306 | 41846 | 1295 |
| 0.0400 | 0.4806 | 42437 | 1769 |
| 0.0500 | 0.3703 | 42794 | 2253 |
| 0.0750 | 0.1971 | 43265 | 3509 |
| 0.1000 | 0.1124 | 43501 | 4835 |
| +2 only | |||
| 0.0000 | 1.0000 | 4536 | 0 |
| 0.0001 | 0.9987 | 15967 | 2 |
| 0.0002 | 0.9974 | 16924 | 3 |
| 0.0003 | 0.9960 | 17497 | 5 |
| 0.0004 | 0.9946 | 17907 | 7 |
| 0.0005 | 0.9931 | 18223 | 9 |
| 0.0006 | 0.9918 | 18484 | 11 |
| 0.0007 | 0.9905 | 18711 | 13 |
| 0.0008 | 0.9890 | 18907 | 15 |
| 0.0009 | 0.9875 | 19080 | 17 |
| 0.0010 | 0.9860 | 19234 | 19 |
| 0.0015 | 0.9787 | 19830 | 30 |
| 0.0020 | 0.9718 | 20257 | 41 |
| 0.0025 | 0.9656 | 20598 | 52 |
| 0.0030 | 0.9583 | 20882 | 63 |
| 0.0040 | 0.9454 | 21337 | 86 |
| 0.0050 | 0.9326 | 21697 | 109 |
| 0.0060 | 0.9194 | 21995 | 133 |
| 0.0070 | 0.9076 | 22248 | 157 |
| 0.0080 | 0.8946 | 22471 | 181 |
| 0.0090 | 0.8813 | 22667 | 206 |
| 0.0100 | 0.8693 | 22841 | 231 |
| 0.0150 | 0.8066 | 23513 | 358 |
| 0.0200 | 0.7521 | 23977 | 490 |
| 0.0250 | 0.6957 | 24330 | 624 |
| 0.0300 | 0.6313 | 24603 | 761 |
| 0.0400 | 0.4595 | 24938 | 1040 |
| 0.0500 | 0.3325 | 25122 | 1323 |
| 0.0750 | 0.1648 | 25350 | 2057 |
| 0.1000 | 0.0901 | 25459 | 2830 |
| +3 only | |||
| 0.0000 | 1.0000 | 2691 | 0 |
| 0.0001 | 0.9980 | 10455 | 1 |
| 0.0002 | 0.9957 | 10838 | 2 |
| 0.0003 | 0.9939 | 11061 | 3 |
| 0.0004 | 0.9921 | 11229 | 5 |
| 0.0005 | 0.9900 | 11361 | 6 |
| 0.0006 | 0.9879 | 11470 | 7 |
| 0.0007 | 0.9861 | 11563 | 8 |
| 0.0008 | 0.9843 | 11644 | 9 |
| 0.0009 | 0.9826 | 11716 | 11 |
| 0.0010 | 0.9806 | 11783 | 12 |
| 0.0015 | 0.9726 | 12046 | 18 |
| 0.0020 | 0.9638 | 12243 | 25 |
| 0.0025 | 0.9541 | 12397 | 31 |
| 0.0030 | 0.9461 | 12522 | 38 |
| 0.0040 | 0.9281 | 12724 | 51 |
| 0.0050 | 0.9141 | 12883 | 65 |
| 0.0060 | 0.8995 | 13018 | 79 |
| 0.0070 | 0.8860 | 13136 | 93 |
| 0.0080 | 0.8727 | 13240 | 107 |
| 0.0090 | 0.8577 | 13332 | 121 |
| 0.0100 | 0.8439 | 13413 | 136 |
| 0.0150 | 0.7846 | 13733 | 209 |
| 0.0200 | 0.7338 | 13974 | 285 |
| 0.0250 | 0.6926 | 14167 | 364 |
| 0.0300 | 0.6377 | 14330 | 444 |
| 0.0400 | 0.5007 | 14546 | 607 |
| 0.0500 | 0.4025 | 14682 | 774 |
| 0.0750 | 0.2266 | 14871 | 1207 |
| 0.1000 | 0.1416 | 14972 | 1664 |
| +4 only | |||
| 0.0000 | 1.0000 | 485 | 0 |
| 0.0001 | 0.9986 | 1844 | 0 |
| 0.0002 | 0.9970 | 1939 | 0 |
| 0.0003 | 0.9950 | 1992 | 1 |
| 0.0004 | 0.9932 | 2028 | 1 |
| 0.0005 | 0.9918 | 2057 | 1 |
| 0.0006 | 0.9899 | 2081 | 1 |
| 0.0007 | 0.9876 | 2100 | 1 |
| 0.0008 | 0.9862 | 2116 | 2 |
| 0.0009 | 0.9843 | 2132 | 2 |
| 0.0010 | 0.9821 | 2145 | 2 |
| 0.0015 | 0.9736 | 2197 | 3 |
| 0.0020 | 0.9662 | 2234 | 5 |
| 0.0025 | 0.9567 | 2264 | 6 |
| 0.0030 | 0.9486 | 2289 | 7 |
| 0.0040 | 0.9324 | 2327 | 9 |
| 0.0050 | 0.9178 | 2358 | 12 |
| 0.0060 | 0.9029 | 2384 | 14 |
| 0.0070 | 0.8906 | 2406 | 17 |
| 0.0080 | 0.8767 | 2426 | 20 |
| 0.0090 | 0.8619 | 2443 | 22 |
| 0.0100 | 0.8484 | 2459 | 25 |
| 0.0150 | 0.7725 | 2517 | 39 |
| 0.0200 | 0.7092 | 2557 | 53 |
| 0.0250 | 0.6481 | 2587 | 67 |
| 0.0300 | 0.5791 | 2610 | 81 |
| 0.0400 | 0.4893 | 2642 | 111 |
| 0.0500 | 0.4242 | 2668 | 141 |
| 0.0750 | 0.2760 | 2709 | 221 |
| 0.1000 | 0.1830 | 2733 | 305 |
| +5 only | |||
| 0.0000 | 1.0000 | 62 | 0 |
| 0.0001 | 0.9993 | 156 | 0 |
| 0.0002 | 0.9986 | 173 | 0 |
| 0.0003 | 0.9980 | 185 | 0 |
| 0.0004 | 0.9971 | 194 | 0 |
| 0.0005 | 0.9961 | 201 | 0 |
| 0.0006 | 0.9949 | 206 | 0 |
| 0.0007 | 0.9938 | 210 | 0 |
| 0.0008 | 0.9927 | 214 | 0 |
| 0.0009 | 0.9917 | 217 | 0 |
| 0.0010 | 0.9902 | 220 | 0 |
| 0.0015 | 0.9864 | 231 | 0 |
| 0.0020 | 0.9788 | 238 | 1 |
| 0.0025 | 0.9748 | 244 | 1 |
| 0.0030 | 0.9720 | 249 | 1 |
| 0.0040 | 0.9609 | 258 | 1 |
| 0.0050 | 0.9528 | 264 | 1 |
| 0.0060 | 0.9415 | 269 | 2 |
| 0.0070 | 0.9236 | 274 | 2 |
| 0.0080 | 0.9064 | 277 | 2 |
| 0.0090 | 0.9010 | 279 | 3 |
| 0.0100 | 0.8969 | 282 | 3 |
| 0.0150 | 0.8168 | 291 | 5 |
| 0.0200 | 0.7591 | 297 | 6 |
| 0.0250 | 0.6726 | 301 | 8 |
| 0.0300 | 0.6440 | 304 | 10 |
| 0.0400 | 0.5803 | 310 | 13 |
| 0.0500 | 0.4987 | 314 | 17 |
| 0.0750 | 0.3532 | 321 | 27 |
| 0.1000 | 0.2473 | 325 | 37 |
| peptideprophet | |
|---|---|
| time | 2017-02-20T13:30:57 |
| author | AKeller@ISB |
| est_tot_num_correct | 43788.1 |
| 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_28A.pep.xml |
| database_refresh | |
| time | 2017-02-20T13:30:46 |
| interact | |
| time | 2017-02-20T13:30:03 |
| directory | /home/sean/Documents/proteome |
| filename | /home/sean/Documents/proteome/interact-20161205_Sample_28A.pep.xml |
| directory | /home/sean/Documents/proteome |
| inputfile | 20161205_Sample_28A.pep.xml |
| tpp_models | |
| time | Mon Feb 20 13:33:30 2017 |