| +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 | 0.010771 |
| pos_bandwidth | 0.010771 |
| 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 | 24430.2 |
| num_iterations | 27 |
| prior_probability | 0.692 |
| tot_num_spectra | 45652 |
| Comet discrim score [fval] negmean: -2.10 | |
| pos model | gaussian (mean 3.01, stdev 2.15) |
| neg model | gaussian (mean -0.99, stdev 1.12) |
| 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 0.940, 1<=nmc<=2 0.060, nmc>=3 0.000) |
| neg model | (nmc=0 0.482, 1<=nmc<=2 0.516, nmc>=3 0.002) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010771 |
| pos_bandwidth | 0.010771 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.033, 0 0.848, 1 0.110, 2 0.010, 3 0.000) |
| neg model | (-3 0.000, -2 0.000, -1 0.311, 0 0.298, 1 0.167, 2 0.121, 3 0.103) |
| +3 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 16475.0 |
| num_iterations | 26 |
| prior_probability | 0.602 |
| tot_num_spectra | 37607 |
| Comet discrim score [fval] negmean: -1.64 | |
| pos model | gaussian (mean 4.08, stdev 2.53) |
| neg model | gaussian (mean -0.54, stdev 1.10) |
| 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 0.020, ntt=2 0.980) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.827, 1<=nmc<=2 0.173, nmc>=3 0.000) |
| neg model | (nmc=0 0.293, 1<=nmc<=2 0.697, nmc>=3 0.010) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010771 |
| pos_bandwidth | 0.010771 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.021, 0 0.760, 1 0.164, 2 0.048, 3 0.007) |
| neg model | (-3 0.000, -2 0.000, -1 0.240, 0 0.222, 1 0.199, 2 0.178, 3 0.162) |
| +4 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 3327.9 |
| num_iterations | 26 |
| prior_probability | 0.516 |
| tot_num_spectra | 9291 |
| Comet discrim score [fval] negmean: -2.02 | |
| pos model | gaussian (mean 2.06, stdev 1.54) |
| neg model | gaussian (mean -1.20, 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 0.022, ntt=2 0.977) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.689, 1<=nmc<=2 0.311, nmc>=3 0.000) |
| neg model | (nmc=0 0.191, 1<=nmc<=2 0.793, nmc>=3 0.017) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010771 |
| pos_bandwidth | 0.010771 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.018, 0 0.766, 1 0.169, 2 0.040, 3 0.007) |
| neg model | (-3 0.000, -2 0.000, -1 0.237, 0 0.216, 1 0.200, 2 0.180, 3 0.167) |
| +5 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 473.0 |
| num_iterations | 27 |
| prior_probability | 0.325 |
| tot_num_spectra | 2493 |
| Comet discrim score [fval] negmean: -2.92 | |
| pos model | gaussian (mean 1.81, stdev 1.52) |
| 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 0.027, ntt=2 0.973) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.591, 1<=nmc<=2 0.409, nmc>=3 0.000) |
| neg model | (nmc=0 0.162, 1<=nmc<=2 0.817, nmc>=3 0.020) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010771 |
| pos_bandwidth | 0.010771 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.006, 0 0.843, 1 0.139, 2 0.009, 3 0.003) |
| neg model | (-3 0.000, -2 0.000, -1 0.220, 0 0.190, 1 0.200, 2 0.192, 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 | 0.010771 |
| pos_bandwidth | 0.010771 |
| 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 | 0.010771 |
| pos_bandwidth | 0.010771 |
| 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_48 | |
|---|---|
| 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_48 |
| 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 | 2017-02-20T14:22:43 (id: 1) |
| database_refresh | 2017-02-20T14:22:31 (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 | 0.5416 | 0.0000 | 24213 | 0 |
| 0.9990 | 0.6278 | 0.0001 | 28068 | 2 |
| 0.9900 | 0.7385 | 0.0007 | 33015 | 22 |
| 0.9800 | 0.7754 | 0.0013 | 34667 | 46 |
| 0.9500 | 0.8297 | 0.0035 | 37092 | 130 |
| 0.9000 | 0.8724 | 0.0071 | 39002 | 280 |
| 0.8500 | 0.9003 | 0.0112 | 40249 | 456 |
| 0.8000 | 0.9201 | 0.0154 | 41135 | 642 |
| 0.7500 | 0.9359 | 0.0198 | 41842 | 846 |
| 0.7000 | 0.9477 | 0.0241 | 42368 | 1045 |
| 0.6500 | 0.9540 | 0.0269 | 42651 | 1181 |
| 0.6000 | 0.9593 | 0.0299 | 42885 | 1321 |
| 0.5500 | 0.9640 | 0.0331 | 43096 | 1478 |
| 0.5000 | 0.9683 | 0.0368 | 43290 | 1652 |
| 0.4500 | 0.9723 | 0.0408 | 43469 | 1851 |
| 0.4000 | 0.9760 | 0.0453 | 43632 | 2070 |
| 0.3500 | 0.9791 | 0.0499 | 43770 | 2300 |
| 0.3000 | 0.9822 | 0.0557 | 43909 | 2591 |
| 0.2500 | 0.9854 | 0.0631 | 44052 | 2968 |
| 0.2000 | 0.9884 | 0.0722 | 44188 | 3441 |
| 0.1500 | 0.9915 | 0.0844 | 44324 | 4084 |
| 0.1000 | 0.9944 | 0.1016 | 44456 | 5027 |
| 0.0500 | 0.9972 | 0.1295 | 44583 | 6630 |
| 0.0000 | 1.0000 | 0.5296 | 44706 | 50337 |
| +2 only | ||||
| 0.9999 | 0.5200 | 0.0000 | 12704 | 0 |
| 0.9990 | 0.6157 | 0.0001 | 15041 | 1 |
| 0.9900 | 0.7399 | 0.0008 | 18076 | 14 |
| 0.9800 | 0.7809 | 0.0015 | 19079 | 28 |
| 0.9500 | 0.8399 | 0.0038 | 20518 | 78 |
| 0.9000 | 0.8859 | 0.0076 | 21643 | 166 |
| 0.8500 | 0.9134 | 0.0115 | 22315 | 260 |
| 0.8000 | 0.9331 | 0.0156 | 22795 | 361 |
| 0.7500 | 0.9472 | 0.0195 | 23141 | 460 |
| 0.7000 | 0.9577 | 0.0232 | 23396 | 557 |
| 0.6500 | 0.9626 | 0.0255 | 23518 | 615 |
| 0.6000 | 0.9669 | 0.0278 | 23620 | 677 |
| 0.5500 | 0.9707 | 0.0305 | 23714 | 745 |
| 0.5000 | 0.9736 | 0.0330 | 23786 | 812 |
| 0.4500 | 0.9769 | 0.0364 | 23867 | 900 |
| 0.4000 | 0.9797 | 0.0397 | 23933 | 991 |
| 0.3500 | 0.9825 | 0.0440 | 24002 | 1104 |
| 0.3000 | 0.9851 | 0.0489 | 24066 | 1238 |
| 0.2500 | 0.9877 | 0.0552 | 24130 | 1409 |
| 0.2000 | 0.9900 | 0.0623 | 24187 | 1606 |
| 0.1500 | 0.9926 | 0.0728 | 24250 | 1904 |
| 0.1000 | 0.9954 | 0.0893 | 24318 | 2384 |
| 0.0500 | 0.9978 | 0.1138 | 24377 | 3131 |
| 0.0000 | 1.0000 | 0.4649 | 24430 | 21222 |
| +3 only | ||||
| 0.9999 | 0.5804 | 0.0000 | 9562 | 0 |
| 0.9990 | 0.6504 | 0.0001 | 10715 | 1 |
| 0.9900 | 0.7402 | 0.0005 | 12195 | 7 |
| 0.9800 | 0.7713 | 0.0011 | 12707 | 14 |
| 0.9500 | 0.8196 | 0.0031 | 13502 | 42 |
| 0.9000 | 0.8589 | 0.0065 | 14150 | 93 |
| 0.8500 | 0.8875 | 0.0108 | 14622 | 160 |
| 0.8000 | 0.9082 | 0.0153 | 14963 | 232 |
| 0.7500 | 0.9268 | 0.0206 | 15268 | 321 |
| 0.7000 | 0.9406 | 0.0255 | 15497 | 406 |
| 0.6500 | 0.9480 | 0.0289 | 15619 | 465 |
| 0.6000 | 0.9541 | 0.0324 | 15719 | 526 |
| 0.5500 | 0.9591 | 0.0358 | 15801 | 586 |
| 0.5000 | 0.9647 | 0.0405 | 15894 | 670 |
| 0.4500 | 0.9689 | 0.0446 | 15962 | 745 |
| 0.4000 | 0.9733 | 0.0500 | 16035 | 845 |
| 0.3500 | 0.9764 | 0.0547 | 16087 | 930 |
| 0.3000 | 0.9797 | 0.0607 | 16141 | 1044 |
| 0.2500 | 0.9833 | 0.0689 | 16200 | 1198 |
| 0.2000 | 0.9871 | 0.0801 | 16263 | 1417 |
| 0.1500 | 0.9906 | 0.0936 | 16320 | 1685 |
| 0.1000 | 0.9936 | 0.1106 | 16369 | 2035 |
| 0.0500 | 0.9968 | 0.1418 | 16422 | 2713 |
| 0.0000 | 1.0000 | 0.5619 | 16475 | 21132 |
| +4 only | ||||
| 0.9999 | 0.5457 | 0.0000 | 1816 | 0 |
| 0.9990 | 0.6367 | 0.0001 | 2119 | 0 |
| 0.9900 | 0.7402 | 0.0006 | 2463 | 2 |
| 0.9800 | 0.7737 | 0.0012 | 2575 | 3 |
| 0.9500 | 0.8208 | 0.0031 | 2732 | 8 |
| 0.9000 | 0.8554 | 0.0061 | 2847 | 17 |
| 0.8500 | 0.8814 | 0.0100 | 2933 | 30 |
| 0.8000 | 0.8963 | 0.0133 | 2983 | 40 |
| 0.7500 | 0.9103 | 0.0174 | 3029 | 54 |
| 0.7000 | 0.9205 | 0.0213 | 3063 | 67 |
| 0.6500 | 0.9299 | 0.0257 | 3094 | 82 |
| 0.6000 | 0.9374 | 0.0300 | 3119 | 97 |
| 0.5500 | 0.9468 | 0.0365 | 3151 | 119 |
| 0.5000 | 0.9534 | 0.0420 | 3173 | 139 |
| 0.4500 | 0.9616 | 0.0501 | 3200 | 169 |
| 0.4000 | 0.9668 | 0.0564 | 3218 | 192 |
| 0.3500 | 0.9711 | 0.0628 | 3232 | 216 |
| 0.3000 | 0.9766 | 0.0728 | 3250 | 255 |
| 0.2500 | 0.9815 | 0.0838 | 3266 | 299 |
| 0.2000 | 0.9852 | 0.0943 | 3279 | 341 |
| 0.1500 | 0.9889 | 0.1081 | 3291 | 399 |
| 0.1000 | 0.9926 | 0.1286 | 3303 | 488 |
| 0.0500 | 0.9958 | 0.1585 | 3314 | 624 |
| 0.0000 | 1.0000 | 0.6418 | 3328 | 5963 |
| +5 only | ||||
| 0.9999 | 0.2770 | 0.0000 | 131 | 0 |
| 0.9990 | 0.4080 | 0.0002 | 193 | 0 |
| 0.9900 | 0.5912 | 0.0013 | 280 | 0 |
| 0.9800 | 0.6475 | 0.0024 | 306 | 1 |
| 0.9500 | 0.7190 | 0.0057 | 340 | 2 |
| 0.9000 | 0.7661 | 0.0100 | 362 | 4 |
| 0.8500 | 0.8012 | 0.0157 | 379 | 6 |
| 0.8000 | 0.8326 | 0.0228 | 394 | 9 |
| 0.7500 | 0.8523 | 0.0286 | 403 | 12 |
| 0.7000 | 0.8708 | 0.0355 | 412 | 15 |
| 0.6500 | 0.8880 | 0.0433 | 420 | 19 |
| 0.6000 | 0.8996 | 0.0502 | 426 | 22 |
| 0.5500 | 0.9119 | 0.0583 | 431 | 27 |
| 0.5000 | 0.9229 | 0.0673 | 437 | 31 |
| 0.4500 | 0.9319 | 0.0760 | 441 | 36 |
| 0.4000 | 0.9418 | 0.0872 | 445 | 43 |
| 0.3500 | 0.9505 | 0.0990 | 450 | 49 |
| 0.3000 | 0.9554 | 0.1070 | 452 | 54 |
| 0.2500 | 0.9622 | 0.1214 | 455 | 63 |
| 0.2000 | 0.9708 | 0.1434 | 459 | 77 |
| 0.1500 | 0.9790 | 0.1717 | 463 | 96 |
| 0.1000 | 0.9860 | 0.2042 | 466 | 120 |
| 0.0500 | 0.9930 | 0.2568 | 470 | 162 |
| 0.0000 | 1.0000 | 0.8103 | 473 | 2020 |
| Error Table | |||
| Error_Rate | min_prob | num_correct | num_incorrect |
|---|---|---|---|
| 0.0000 | 1.0000 | 8059 | 0 |
| 0.0001 | 0.9986 | 28713 | 3 |
| 0.0002 | 0.9971 | 30235 | 6 |
| 0.0003 | 0.9957 | 31158 | 9 |
| 0.0004 | 0.9941 | 31816 | 13 |
| 0.0005 | 0.9926 | 32335 | 16 |
| 0.0006 | 0.9911 | 32759 | 20 |
| 0.0007 | 0.9895 | 33120 | 23 |
| 0.0008 | 0.9880 | 33435 | 27 |
| 0.0009 | 0.9865 | 33713 | 30 |
| 0.0010 | 0.9851 | 33966 | 34 |
| 0.0015 | 0.9775 | 34950 | 53 |
| 0.0020 | 0.9699 | 35656 | 72 |
| 0.0025 | 0.9631 | 36216 | 91 |
| 0.0030 | 0.9565 | 36686 | 110 |
| 0.0040 | 0.9430 | 37447 | 150 |
| 0.0050 | 0.9290 | 38047 | 191 |
| 0.0060 | 0.9155 | 38537 | 233 |
| 0.0070 | 0.9013 | 38955 | 275 |
| 0.0080 | 0.8889 | 39318 | 317 |
| 0.0090 | 0.8772 | 39641 | 360 |
| 0.0100 | 0.8653 | 39934 | 404 |
| 0.0150 | 0.8041 | 41066 | 626 |
| 0.0200 | 0.7479 | 41868 | 855 |
| 0.0250 | 0.6836 | 42469 | 1089 |
| 0.0300 | 0.5986 | 42893 | 1327 |
| 0.0400 | 0.4601 | 43436 | 1810 |
| 0.0500 | 0.3495 | 43772 | 2305 |
| 0.0750 | 0.1863 | 44223 | 3587 |
| 0.1000 | 0.1034 | 44447 | 4939 |
| +2 only | |||
| 0.0000 | 1.0000 | 4400 | 0 |
| 0.0001 | 0.9987 | 15263 | 2 |
| 0.0002 | 0.9975 | 16183 | 3 |
| 0.0003 | 0.9962 | 16752 | 5 |
| 0.0004 | 0.9948 | 17167 | 7 |
| 0.0005 | 0.9935 | 17488 | 9 |
| 0.0006 | 0.9921 | 17754 | 11 |
| 0.0007 | 0.9906 | 17977 | 13 |
| 0.0008 | 0.9893 | 18170 | 15 |
| 0.0009 | 0.9879 | 18341 | 17 |
| 0.0010 | 0.9866 | 18494 | 19 |
| 0.0015 | 0.9797 | 19098 | 29 |
| 0.0020 | 0.9730 | 19530 | 39 |
| 0.0025 | 0.9661 | 19868 | 50 |
| 0.0030 | 0.9595 | 20150 | 61 |
| 0.0040 | 0.9472 | 20605 | 83 |
| 0.0050 | 0.9338 | 20966 | 105 |
| 0.0060 | 0.9206 | 21260 | 128 |
| 0.0070 | 0.9078 | 21509 | 152 |
| 0.0080 | 0.8953 | 21725 | 175 |
| 0.0090 | 0.8824 | 21916 | 199 |
| 0.0100 | 0.8708 | 22087 | 223 |
| 0.0150 | 0.8071 | 22735 | 346 |
| 0.0200 | 0.7429 | 23180 | 474 |
| 0.0250 | 0.6604 | 23494 | 603 |
| 0.0300 | 0.5589 | 23699 | 733 |
| 0.0400 | 0.3977 | 23939 | 998 |
| 0.0500 | 0.2900 | 24079 | 1268 |
| 0.0750 | 0.1433 | 24261 | 1968 |
| 0.1000 | 0.0761 | 24349 | 2707 |
| +3 only | |||
| 0.0000 | 1.0000 | 2995 | 0 |
| 0.0001 | 0.9982 | 11072 | 1 |
| 0.0002 | 0.9963 | 11528 | 2 |
| 0.0003 | 0.9943 | 11793 | 4 |
| 0.0004 | 0.9926 | 11986 | 5 |
| 0.0005 | 0.9909 | 12140 | 6 |
| 0.0006 | 0.9889 | 12266 | 7 |
| 0.0007 | 0.9870 | 12373 | 9 |
| 0.0008 | 0.9855 | 12468 | 10 |
| 0.0009 | 0.9838 | 12553 | 11 |
| 0.0010 | 0.9822 | 12629 | 13 |
| 0.0015 | 0.9731 | 12931 | 19 |
| 0.0020 | 0.9655 | 13150 | 26 |
| 0.0025 | 0.9581 | 13328 | 33 |
| 0.0030 | 0.9513 | 13477 | 41 |
| 0.0040 | 0.9359 | 13722 | 55 |
| 0.0050 | 0.9213 | 13918 | 70 |
| 0.0060 | 0.9070 | 14079 | 85 |
| 0.0070 | 0.8931 | 14216 | 100 |
| 0.0080 | 0.8807 | 14337 | 116 |
| 0.0090 | 0.8694 | 14447 | 131 |
| 0.0100 | 0.8589 | 14546 | 147 |
| 0.0150 | 0.8028 | 14946 | 228 |
| 0.0200 | 0.7541 | 15241 | 311 |
| 0.0250 | 0.7084 | 15476 | 397 |
| 0.0300 | 0.6292 | 15653 | 485 |
| 0.0400 | 0.5050 | 15886 | 663 |
| 0.0500 | 0.4001 | 16035 | 845 |
| 0.0750 | 0.2213 | 16237 | 1317 |
| 0.1000 | 0.1268 | 16341 | 1817 |
| +4 only | |||
| 0.0000 | 1.0000 | 587 | 0 |
| 0.0001 | 0.9986 | 2168 | 0 |
| 0.0002 | 0.9969 | 2283 | 0 |
| 0.0003 | 0.9952 | 2346 | 1 |
| 0.0004 | 0.9935 | 2392 | 1 |
| 0.0005 | 0.9917 | 2427 | 1 |
| 0.0006 | 0.9903 | 2456 | 1 |
| 0.0007 | 0.9894 | 2481 | 2 |
| 0.0008 | 0.9881 | 2504 | 2 |
| 0.0009 | 0.9860 | 2525 | 2 |
| 0.0010 | 0.9840 | 2542 | 3 |
| 0.0015 | 0.9752 | 2609 | 4 |
| 0.0020 | 0.9679 | 2657 | 5 |
| 0.0025 | 0.9611 | 2695 | 7 |
| 0.0030 | 0.9515 | 2728 | 8 |
| 0.0040 | 0.9354 | 2777 | 11 |
| 0.0050 | 0.9186 | 2815 | 14 |
| 0.0060 | 0.9011 | 2846 | 17 |
| 0.0070 | 0.8880 | 2871 | 20 |
| 0.0080 | 0.8774 | 2894 | 24 |
| 0.0090 | 0.8668 | 2915 | 27 |
| 0.0100 | 0.8509 | 2934 | 30 |
| 0.0150 | 0.7831 | 3005 | 46 |
| 0.0200 | 0.7157 | 3054 | 63 |
| 0.0250 | 0.6554 | 3091 | 80 |
| 0.0300 | 0.6003 | 3120 | 97 |
| 0.0400 | 0.5212 | 3166 | 133 |
| 0.0500 | 0.4509 | 3201 | 169 |
| 0.0750 | 0.2890 | 3254 | 265 |
| 0.1000 | 0.1806 | 3285 | 366 |
| +5 only | |||
| 0.0000 | 1.0000 | 83 | 0 |
| 0.0001 | 0.9994 | 179 | 0 |
| 0.0002 | 0.9985 | 203 | 0 |
| 0.0003 | 0.9980 | 217 | 0 |
| 0.0004 | 0.9975 | 229 | 0 |
| 0.0005 | 0.9969 | 239 | 0 |
| 0.0006 | 0.9960 | 247 | 0 |
| 0.0007 | 0.9955 | 254 | 0 |
| 0.0008 | 0.9947 | 260 | 0 |
| 0.0009 | 0.9943 | 266 | 0 |
| 0.0010 | 0.9930 | 271 | 0 |
| 0.0015 | 0.9880 | 288 | 0 |
| 0.0020 | 0.9833 | 300 | 1 |
| 0.0025 | 0.9778 | 309 | 1 |
| 0.0030 | 0.9719 | 316 | 1 |
| 0.0040 | 0.9627 | 327 | 1 |
| 0.0050 | 0.9574 | 336 | 2 |
| 0.0060 | 0.9469 | 344 | 2 |
| 0.0070 | 0.9359 | 350 | 3 |
| 0.0080 | 0.9235 | 355 | 3 |
| 0.0090 | 0.9072 | 360 | 3 |
| 0.0100 | 0.9031 | 363 | 4 |
| 0.0150 | 0.8538 | 379 | 6 |
| 0.0200 | 0.8175 | 390 | 8 |
| 0.0250 | 0.7832 | 399 | 10 |
| 0.0300 | 0.7428 | 406 | 13 |
| 0.0400 | 0.6750 | 418 | 18 |
| 0.0500 | 0.6001 | 426 | 23 |
| 0.0750 | 0.4588 | 441 | 37 |
| 0.1000 | 0.3444 | 450 | 51 |
| peptideprophet | |
|---|---|
| time | 2017-02-20T14:22:43 |
| author | AKeller@ISB |
| est_tot_num_correct | 44706.1 |
| 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_48.pep.xml |
| database_refresh | |
| time | 2017-02-20T14:22:31 |
| interact | |
| time | 2017-02-20T14:21:48 |
| directory | /home/sean/Documents/proteome |
| filename | /home/sean/Documents/proteome/interact-20161205_Sample_48.pep.xml |
| directory | /home/sean/Documents/proteome |
| inputfile | 20161205_Sample_48.pep.xml |
| tpp_models | |
| time | Mon Feb 20 14:25:16 2017 |