| +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 | 0.010840 |
| pos_bandwidth | 0.010840 |
| 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 | 20856.9 |
| num_iterations | 26 |
| prior_probability | 0.612 |
| tot_num_spectra | 46433 |
| Comet discrim score [fval] negmean: -2.09 | |
| pos model | gaussian (mean 2.79, stdev 2.10) |
| neg model | gaussian (mean -1.01, stdev 1.08) |
| no. tolerable trypsin term. [ntt] | |
| pos model | (ntt=0 0.000, ntt=1 0.000, ntt=2 0.999) |
| neg model | (ntt=0 0.001, ntt=1 0.023, ntt=2 0.976) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.942, 1<=nmc<=2 0.058, nmc>=3 0.000) |
| neg model | (nmc=0 0.500, 1<=nmc<=2 0.498, nmc>=3 0.002) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010840 |
| pos_bandwidth | 0.010840 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.033, 0 0.863, 1 0.095, 2 0.008, 3 0.000) |
| neg model | (-3 0.000, -2 0.000, -1 0.301, 0 0.314, 1 0.166, 2 0.117, 3 0.103) |
| +3 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 12578.9 |
| num_iterations | 26 |
| prior_probability | 0.535 |
| tot_num_spectra | 33782 |
| Comet discrim score [fval] negmean: -1.63 | |
| pos model | gaussian (mean 4.03, stdev 2.45) |
| neg model | gaussian (mean -0.55, stdev 1.07) |
| 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 0.827, 1<=nmc<=2 0.173, nmc>=3 0.000) |
| neg model | (nmc=0 0.288, 1<=nmc<=2 0.705, nmc>=3 0.008) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010840 |
| pos_bandwidth | 0.010840 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.021, 0 0.785, 1 0.146, 2 0.041, 3 0.006) |
| neg model | (-3 0.000, -2 0.000, -1 0.235, 0 0.224, 1 0.202, 2 0.177, 3 0.161) |
| +4 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 2358.7 |
| num_iterations | 27 |
| prior_probability | 0.448 |
| tot_num_spectra | 7885 |
| Comet discrim score [fval] negmean: -2.04 | |
| pos model | gaussian (mean 1.94, stdev 1.50) |
| 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 0.678, 1<=nmc<=2 0.322, nmc>=3 0.000) |
| neg model | (nmc=0 0.192, 1<=nmc<=2 0.791, nmc>=3 0.017) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010840 |
| pos_bandwidth | 0.010840 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.016, 0 0.800, 1 0.140, 2 0.037, 3 0.007) |
| neg model | (-3 0.000, -2 0.000, -1 0.213, 0 0.219, 1 0.211, 2 0.184, 3 0.174) |
| +5 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 281.5 |
| num_iterations | 27 |
| prior_probability | 0.255 |
| tot_num_spectra | 1946 |
| Comet discrim score [fval] negmean: -2.88 | |
| pos model | gaussian (mean 2.09, stdev 1.51) |
| neg model | gaussian (mean -1.67, stdev 1.20) |
| 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 0.619, 1<=nmc<=2 0.381, nmc>=3 0.000) |
| neg model | (nmc=0 0.156, 1<=nmc<=2 0.826, nmc>=3 0.018) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010840 |
| pos_bandwidth | 0.010840 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.009, 0 0.847, 1 0.125, 2 0.015, 3 0.004) |
| neg model | (-3 0.000, -2 0.000, -1 0.206, 0 0.184, 1 0.228, 2 0.194, 3 0.187) |
| +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 | 0.010840 |
| pos_bandwidth | 0.010840 |
| 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 | 0.010840 |
| pos_bandwidth | 0.010840 |
| 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_51A | |
|---|---|
| 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_51A |
| 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 | 2017-02-20T14:33:07 (id: 1) |
| database_refresh | 2017-02-20T14:32:56 (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 | 0.5172 | 0.0000 | 18660 | 0 |
| 0.9990 | 0.6058 | 0.0001 | 21856 | 2 |
| 0.9900 | 0.7176 | 0.0007 | 25887 | 18 |
| 0.9800 | 0.7547 | 0.0014 | 27227 | 37 |
| 0.9500 | 0.8053 | 0.0034 | 29053 | 101 |
| 0.9000 | 0.8513 | 0.0075 | 30711 | 231 |
| 0.8500 | 0.8786 | 0.0115 | 31695 | 370 |
| 0.8000 | 0.9002 | 0.0162 | 32476 | 535 |
| 0.7500 | 0.9173 | 0.0211 | 33093 | 713 |
| 0.7000 | 0.9315 | 0.0263 | 33604 | 906 |
| 0.6500 | 0.9438 | 0.0318 | 34047 | 1118 |
| 0.6000 | 0.9530 | 0.0369 | 34381 | 1317 |
| 0.5500 | 0.9586 | 0.0407 | 34583 | 1467 |
| 0.5000 | 0.9632 | 0.0445 | 34750 | 1617 |
| 0.4500 | 0.9673 | 0.0485 | 34896 | 1779 |
| 0.4000 | 0.9712 | 0.0532 | 35036 | 1968 |
| 0.3500 | 0.9749 | 0.0586 | 35170 | 2191 |
| 0.3000 | 0.9783 | 0.0648 | 35292 | 2447 |
| 0.2500 | 0.9818 | 0.0728 | 35420 | 2782 |
| 0.2000 | 0.9853 | 0.0830 | 35546 | 3218 |
| 0.1500 | 0.9889 | 0.0972 | 35675 | 3840 |
| 0.1000 | 0.9927 | 0.1183 | 35811 | 4803 |
| 0.0500 | 0.9964 | 0.1536 | 35946 | 6523 |
| 0.0000 | 1.0000 | 0.5994 | 36076 | 53970 |
| +2 only | ||||
| 0.9999 | 0.4841 | 0.0000 | 10097 | 0 |
| 0.9990 | 0.5802 | 0.0001 | 12102 | 1 |
| 0.9900 | 0.7036 | 0.0008 | 14676 | 11 |
| 0.9800 | 0.7455 | 0.0016 | 15550 | 24 |
| 0.9500 | 0.8014 | 0.0039 | 16714 | 65 |
| 0.9000 | 0.8521 | 0.0082 | 17771 | 148 |
| 0.8500 | 0.8817 | 0.0126 | 18391 | 235 |
| 0.8000 | 0.9040 | 0.0174 | 18855 | 334 |
| 0.7500 | 0.9221 | 0.0225 | 19231 | 442 |
| 0.7000 | 0.9367 | 0.0278 | 19537 | 558 |
| 0.6500 | 0.9488 | 0.0331 | 19788 | 678 |
| 0.6000 | 0.9582 | 0.0383 | 19986 | 795 |
| 0.5500 | 0.9638 | 0.0420 | 20101 | 880 |
| 0.5000 | 0.9678 | 0.0452 | 20184 | 956 |
| 0.4500 | 0.9709 | 0.0483 | 20250 | 1029 |
| 0.4000 | 0.9745 | 0.0526 | 20324 | 1128 |
| 0.3500 | 0.9775 | 0.0571 | 20389 | 1235 |
| 0.3000 | 0.9802 | 0.0621 | 20445 | 1353 |
| 0.2500 | 0.9836 | 0.0697 | 20514 | 1538 |
| 0.2000 | 0.9866 | 0.0787 | 20578 | 1759 |
| 0.1500 | 0.9897 | 0.0909 | 20642 | 2065 |
| 0.1000 | 0.9935 | 0.1124 | 20721 | 2624 |
| 0.0500 | 0.9970 | 0.1459 | 20794 | 3552 |
| 0.0000 | 1.0000 | 0.5508 | 20857 | 25576 |
| +3 only | ||||
| 0.9999 | 0.5784 | 0.0000 | 7276 | 0 |
| 0.9990 | 0.6522 | 0.0001 | 8204 | 0 |
| 0.9900 | 0.7418 | 0.0005 | 9331 | 5 |
| 0.9800 | 0.7709 | 0.0011 | 9697 | 10 |
| 0.9500 | 0.8146 | 0.0028 | 10247 | 29 |
| 0.9000 | 0.8540 | 0.0063 | 10742 | 68 |
| 0.8500 | 0.8783 | 0.0100 | 11048 | 111 |
| 0.8000 | 0.8987 | 0.0145 | 11305 | 166 |
| 0.7500 | 0.9149 | 0.0191 | 11509 | 224 |
| 0.7000 | 0.9288 | 0.0242 | 11683 | 290 |
| 0.6500 | 0.9415 | 0.0301 | 11844 | 367 |
| 0.6000 | 0.9499 | 0.0347 | 11949 | 430 |
| 0.5500 | 0.9551 | 0.0383 | 12014 | 478 |
| 0.5000 | 0.9600 | 0.0424 | 12076 | 534 |
| 0.4500 | 0.9648 | 0.0472 | 12137 | 601 |
| 0.4000 | 0.9689 | 0.0521 | 12188 | 670 |
| 0.3500 | 0.9732 | 0.0584 | 12242 | 760 |
| 0.3000 | 0.9768 | 0.0650 | 12288 | 854 |
| 0.2500 | 0.9805 | 0.0732 | 12333 | 974 |
| 0.2000 | 0.9843 | 0.0843 | 12381 | 1140 |
| 0.1500 | 0.9885 | 0.1009 | 12434 | 1395 |
| 0.1000 | 0.9919 | 0.1199 | 12478 | 1699 |
| 0.0500 | 0.9959 | 0.1579 | 12527 | 2349 |
| 0.0000 | 1.0000 | 0.6276 | 12579 | 21203 |
| +4 only | ||||
| 0.9999 | 0.5105 | 0.0000 | 1204 | 0 |
| 0.9990 | 0.6033 | 0.0001 | 1423 | 0 |
| 0.9900 | 0.7245 | 0.0007 | 1709 | 1 |
| 0.9800 | 0.7621 | 0.0014 | 1798 | 2 |
| 0.9500 | 0.8047 | 0.0031 | 1898 | 6 |
| 0.9000 | 0.8421 | 0.0064 | 1986 | 13 |
| 0.8500 | 0.8614 | 0.0094 | 2032 | 19 |
| 0.8000 | 0.8838 | 0.0144 | 2085 | 30 |
| 0.7500 | 0.8969 | 0.0183 | 2116 | 39 |
| 0.7000 | 0.9092 | 0.0230 | 2144 | 51 |
| 0.6500 | 0.9192 | 0.0278 | 2168 | 62 |
| 0.6000 | 0.9317 | 0.0349 | 2197 | 80 |
| 0.5500 | 0.9397 | 0.0405 | 2216 | 94 |
| 0.5000 | 0.9473 | 0.0468 | 2234 | 110 |
| 0.4500 | 0.9541 | 0.0536 | 2250 | 128 |
| 0.4000 | 0.9599 | 0.0606 | 2264 | 146 |
| 0.3500 | 0.9646 | 0.0675 | 2275 | 165 |
| 0.3000 | 0.9715 | 0.0798 | 2291 | 199 |
| 0.2500 | 0.9758 | 0.0892 | 2302 | 225 |
| 0.2000 | 0.9805 | 0.1025 | 2313 | 264 |
| 0.1500 | 0.9853 | 0.1207 | 2324 | 319 |
| 0.1000 | 0.9903 | 0.1472 | 2336 | 403 |
| 0.0500 | 0.9943 | 0.1820 | 2345 | 522 |
| 0.0000 | 1.0000 | 0.7009 | 2359 | 5526 |
| +5 only | ||||
| 0.9999 | 0.2948 | 0.0000 | 83 | 0 |
| 0.9990 | 0.4546 | 0.0002 | 128 | 0 |
| 0.9900 | 0.6103 | 0.0012 | 172 | 0 |
| 0.9800 | 0.6488 | 0.0019 | 183 | 0 |
| 0.9500 | 0.6901 | 0.0038 | 194 | 1 |
| 0.9000 | 0.7525 | 0.0101 | 212 | 2 |
| 0.8500 | 0.7990 | 0.0177 | 225 | 4 |
| 0.8000 | 0.8193 | 0.0226 | 231 | 5 |
| 0.7500 | 0.8442 | 0.0299 | 238 | 7 |
| 0.7000 | 0.8495 | 0.0318 | 239 | 8 |
| 0.6500 | 0.8759 | 0.0443 | 247 | 11 |
| 0.6000 | 0.8826 | 0.0480 | 248 | 13 |
| 0.5500 | 0.8949 | 0.0565 | 252 | 15 |
| 0.5000 | 0.9062 | 0.0655 | 255 | 18 |
| 0.4500 | 0.9183 | 0.0767 | 259 | 21 |
| 0.4000 | 0.9241 | 0.0840 | 260 | 24 |
| 0.3500 | 0.9389 | 0.1040 | 264 | 31 |
| 0.3000 | 0.9549 | 0.1300 | 269 | 40 |
| 0.2500 | 0.9618 | 0.1431 | 271 | 45 |
| 0.2000 | 0.9722 | 0.1681 | 274 | 55 |
| 0.1500 | 0.9765 | 0.1818 | 275 | 61 |
| 0.1000 | 0.9839 | 0.2154 | 277 | 76 |
| 0.0500 | 0.9910 | 0.2658 | 279 | 101 |
| 0.0000 | 1.0000 | 0.8553 | 282 | 1664 |
| Error Table | |||
| Error_Rate | min_prob | num_correct | num_incorrect |
|---|---|---|---|
| 0.0000 | 1.0000 | 6454 | 0 |
| 0.0001 | 0.9987 | 22296 | 2 |
| 0.0002 | 0.9973 | 23557 | 5 |
| 0.0003 | 0.9958 | 24312 | 7 |
| 0.0004 | 0.9943 | 24850 | 10 |
| 0.0005 | 0.9929 | 25271 | 13 |
| 0.0006 | 0.9915 | 25622 | 15 |
| 0.0007 | 0.9898 | 25917 | 18 |
| 0.0008 | 0.9884 | 26171 | 21 |
| 0.0009 | 0.9871 | 26399 | 24 |
| 0.0010 | 0.9855 | 26605 | 27 |
| 0.0015 | 0.9781 | 27400 | 41 |
| 0.0020 | 0.9702 | 27962 | 56 |
| 0.0025 | 0.9631 | 28403 | 71 |
| 0.0030 | 0.9564 | 28770 | 87 |
| 0.0040 | 0.9426 | 29359 | 118 |
| 0.0050 | 0.9301 | 29832 | 150 |
| 0.0060 | 0.9180 | 30227 | 183 |
| 0.0070 | 0.9060 | 30571 | 216 |
| 0.0080 | 0.8926 | 30871 | 249 |
| 0.0090 | 0.8795 | 31133 | 283 |
| 0.0100 | 0.8680 | 31369 | 317 |
| 0.0150 | 0.8127 | 32296 | 492 |
| 0.0200 | 0.7619 | 32970 | 673 |
| 0.0250 | 0.7112 | 33491 | 859 |
| 0.0300 | 0.6671 | 33914 | 1049 |
| 0.0400 | 0.5589 | 34550 | 1440 |
| 0.0500 | 0.4338 | 34944 | 1840 |
| 0.0750 | 0.2381 | 35450 | 2875 |
| 0.1000 | 0.1423 | 35697 | 3967 |
| +2 only | |||
| 0.0000 | 1.0000 | 3712 | 0 |
| 0.0001 | 0.9988 | 12228 | 1 |
| 0.0002 | 0.9976 | 13023 | 3 |
| 0.0003 | 0.9963 | 13504 | 4 |
| 0.0004 | 0.9951 | 13850 | 6 |
| 0.0005 | 0.9938 | 14121 | 7 |
| 0.0006 | 0.9925 | 14345 | 9 |
| 0.0007 | 0.9913 | 14538 | 10 |
| 0.0008 | 0.9897 | 14703 | 12 |
| 0.0009 | 0.9886 | 14851 | 13 |
| 0.0010 | 0.9874 | 14985 | 15 |
| 0.0015 | 0.9808 | 15505 | 23 |
| 0.0020 | 0.9736 | 15871 | 32 |
| 0.0025 | 0.9667 | 16154 | 41 |
| 0.0030 | 0.9605 | 16389 | 49 |
| 0.0040 | 0.9479 | 16767 | 67 |
| 0.0050 | 0.9365 | 17066 | 86 |
| 0.0060 | 0.9250 | 17319 | 105 |
| 0.0070 | 0.9144 | 17538 | 124 |
| 0.0080 | 0.9032 | 17731 | 143 |
| 0.0090 | 0.8903 | 17900 | 163 |
| 0.0100 | 0.8780 | 18051 | 183 |
| 0.0150 | 0.8246 | 18641 | 284 |
| 0.0200 | 0.7752 | 19063 | 389 |
| 0.0250 | 0.7267 | 19388 | 497 |
| 0.0300 | 0.6804 | 19650 | 608 |
| 0.0400 | 0.5768 | 20043 | 836 |
| 0.0500 | 0.4304 | 20282 | 1068 |
| 0.0750 | 0.2181 | 20554 | 1668 |
| 0.1000 | 0.1271 | 20680 | 2299 |
| +3 only | |||
| 0.0000 | 1.0000 | 2276 | 0 |
| 0.0001 | 0.9983 | 8467 | 1 |
| 0.0002 | 0.9964 | 8826 | 2 |
| 0.0003 | 0.9943 | 9033 | 3 |
| 0.0004 | 0.9927 | 9181 | 4 |
| 0.0005 | 0.9908 | 9300 | 5 |
| 0.0006 | 0.9884 | 9393 | 6 |
| 0.0007 | 0.9865 | 9473 | 7 |
| 0.0008 | 0.9846 | 9542 | 8 |
| 0.0009 | 0.9830 | 9604 | 9 |
| 0.0010 | 0.9812 | 9660 | 10 |
| 0.0015 | 0.9725 | 9880 | 15 |
| 0.0020 | 0.9640 | 10042 | 20 |
| 0.0025 | 0.9563 | 10172 | 26 |
| 0.0030 | 0.9472 | 10280 | 31 |
| 0.0040 | 0.9329 | 10453 | 42 |
| 0.0050 | 0.9177 | 10593 | 53 |
| 0.0060 | 0.9047 | 10710 | 65 |
| 0.0070 | 0.8886 | 10812 | 76 |
| 0.0080 | 0.8766 | 10900 | 88 |
| 0.0090 | 0.8644 | 10978 | 100 |
| 0.0100 | 0.8498 | 11050 | 112 |
| 0.0150 | 0.7952 | 11333 | 173 |
| 0.0200 | 0.7412 | 11543 | 236 |
| 0.0250 | 0.6928 | 11707 | 301 |
| 0.0300 | 0.6506 | 11842 | 367 |
| 0.0400 | 0.5274 | 12042 | 503 |
| 0.0500 | 0.4249 | 12168 | 641 |
| 0.0750 | 0.2407 | 12342 | 1002 |
| 0.1000 | 0.1524 | 12432 | 1382 |
| +4 only | |||
| 0.0000 | 1.0000 | 423 | 0 |
| 0.0001 | 0.9987 | 1452 | 0 |
| 0.0002 | 0.9975 | 1540 | 0 |
| 0.0003 | 0.9963 | 1596 | 0 |
| 0.0004 | 0.9948 | 1635 | 1 |
| 0.0005 | 0.9934 | 1666 | 1 |
| 0.0006 | 0.9917 | 1690 | 1 |
| 0.0007 | 0.9900 | 1710 | 1 |
| 0.0008 | 0.9885 | 1727 | 1 |
| 0.0009 | 0.9874 | 1741 | 2 |
| 0.0010 | 0.9862 | 1756 | 2 |
| 0.0015 | 0.9780 | 1810 | 3 |
| 0.0020 | 0.9677 | 1845 | 4 |
| 0.0025 | 0.9601 | 1872 | 5 |
| 0.0030 | 0.9517 | 1894 | 6 |
| 0.0040 | 0.9368 | 1929 | 8 |
| 0.0050 | 0.9208 | 1957 | 10 |
| 0.0060 | 0.9062 | 1980 | 12 |
| 0.0070 | 0.8937 | 1999 | 14 |
| 0.0080 | 0.8704 | 2016 | 16 |
| 0.0090 | 0.8548 | 2028 | 19 |
| 0.0100 | 0.8410 | 2041 | 21 |
| 0.0150 | 0.7876 | 2091 | 32 |
| 0.0200 | 0.7268 | 2127 | 44 |
| 0.0250 | 0.6775 | 2156 | 56 |
| 0.0300 | 0.6367 | 2179 | 68 |
| 0.0400 | 0.5535 | 2216 | 93 |
| 0.0500 | 0.4767 | 2243 | 119 |
| 0.0750 | 0.3135 | 2286 | 186 |
| 0.1000 | 0.2087 | 2311 | 258 |
| +5 only | |||
| 0.0000 | 1.0000 | 49 | 0 |
| 0.0001 | 0.9995 | 118 | 0 |
| 0.0002 | 0.9986 | 135 | 0 |
| 0.0003 | 0.9978 | 145 | 0 |
| 0.0004 | 0.9969 | 152 | 0 |
| 0.0005 | 0.9953 | 156 | 0 |
| 0.0006 | 0.9945 | 160 | 0 |
| 0.0007 | 0.9935 | 163 | 0 |
| 0.0008 | 0.9932 | 165 | 0 |
| 0.0009 | 0.9916 | 168 | 0 |
| 0.0010 | 0.9908 | 170 | 0 |
| 0.0015 | 0.9873 | 179 | 0 |
| 0.0020 | 0.9749 | 185 | 0 |
| 0.0025 | 0.9714 | 188 | 1 |
| 0.0030 | 0.9670 | 191 | 1 |
| 0.0040 | 0.9479 | 196 | 1 |
| 0.0050 | 0.9374 | 200 | 1 |
| 0.0060 | 0.9335 | 203 | 1 |
| 0.0070 | 0.9178 | 206 | 2 |
| 0.0080 | 0.9126 | 208 | 2 |
| 0.0090 | 0.9073 | 211 | 2 |
| 0.0100 | 0.9016 | 213 | 2 |
| 0.0150 | 0.8649 | 222 | 3 |
| 0.0200 | 0.8110 | 229 | 5 |
| 0.0250 | 0.7846 | 235 | 6 |
| 0.0300 | 0.7469 | 239 | 8 |
| 0.0400 | 0.6586 | 245 | 11 |
| 0.0500 | 0.5877 | 250 | 14 |
| 0.0750 | 0.4705 | 259 | 21 |
| 0.1000 | 0.3619 | 264 | 30 |
| peptideprophet | |
|---|---|
| time | 2017-02-20T14:33:07 |
| author | AKeller@ISB |
| est_tot_num_correct | 36075.9 |
| 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_51A.pep.xml |
| database_refresh | |
| time | 2017-02-20T14:32:56 |
| interact | |
| time | 2017-02-20T14:32:15 |
| directory | /home/sean/Documents/proteome |
| filename | /home/sean/Documents/proteome/interact-20161205_Sample_51A.pep.xml |
| directory | /home/sean/Documents/proteome |
| inputfile | 20161205_Sample_51A.pep.xml |
| tpp_models | |
| time | Mon Feb 20 14:35:14 2017 |