| +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 | 0.010913 |
| pos_bandwidth | 0.010913 |
| 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 | 22772.6 |
| num_iterations | 27 |
| prior_probability | 0.632 |
| tot_num_spectra | 48780 |
| Comet discrim score [fval] negmean: -2.12 | |
| pos model | gaussian (mean 2.76, stdev 2.17) |
| neg model | gaussian (mean -1.03, stdev 1.09) |
| no. tolerable trypsin term. [ntt] | |
| pos model | (ntt=0 0.000, ntt=1 0.000, ntt=2 0.999) |
| neg model | (ntt=0 0.000, ntt=1 0.023, ntt=2 0.976) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.936, 1<=nmc<=2 0.064, nmc>=3 0.000) |
| neg model | (nmc=0 0.492, 1<=nmc<=2 0.507, nmc>=3 0.001) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010913 |
| pos_bandwidth | 0.010913 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.034, 0 0.844, 1 0.113, 2 0.009, 3 0.000) |
| neg model | (-3 0.000, -2 0.000, -1 0.308, 0 0.305, 1 0.168, 2 0.121, 3 0.098) |
| +3 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 12723.2 |
| num_iterations | 26 |
| prior_probability | 0.544 |
| tot_num_spectra | 33467 |
| Comet discrim score [fval] negmean: -1.67 | |
| pos model | gaussian (mean 3.99, stdev 2.47) |
| neg model | gaussian (mean -0.58, 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 0.814, 1<=nmc<=2 0.186, nmc>=3 0.000) |
| neg model | (nmc=0 0.306, 1<=nmc<=2 0.688, nmc>=3 0.007) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010913 |
| pos_bandwidth | 0.010913 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.021, 0 0.761, 1 0.160, 2 0.050, 3 0.009) |
| neg model | (-3 0.000, -2 0.000, -1 0.228, 0 0.230, 1 0.202, 2 0.176, 3 0.164) |
| +4 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 2599.6 |
| num_iterations | 27 |
| prior_probability | 0.465 |
| tot_num_spectra | 8442 |
| Comet discrim score [fval] negmean: -2.05 | |
| pos model | gaussian (mean 1.83, stdev 1.50) |
| neg model | gaussian (mean -1.24, 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 0.019, ntt=2 0.980) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.674, 1<=nmc<=2 0.326, nmc>=3 0.000) |
| neg model | (nmc=0 0.188, 1<=nmc<=2 0.793, nmc>=3 0.019) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010913 |
| pos_bandwidth | 0.010913 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.017, 0 0.750, 1 0.177, 2 0.045, 3 0.011) |
| neg model | (-3 0.000, -2 0.000, -1 0.232, 0 0.199, 1 0.204, 2 0.190, 3 0.176) |
| +5 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 261.5 |
| num_iterations | 27 |
| prior_probability | 0.217 |
| tot_num_spectra | 2188 |
| Comet discrim score [fval] negmean: -2.93 | |
| pos model | gaussian (mean 1.61, stdev 1.45) |
| neg model | gaussian (mean -1.75, stdev 1.17) |
| 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 0.026, ntt=2 0.974) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.555, 1<=nmc<=2 0.445, nmc>=3 0.000) |
| neg model | (nmc=0 0.160, 1<=nmc<=2 0.820, nmc>=3 0.020) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010913 |
| pos_bandwidth | 0.010913 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.005, 0 0.791, 1 0.192, 2 0.011, 3 0.001) |
| neg model | (-3 0.000, -2 0.000, -1 0.196, 0 0.199, 1 0.211, 2 0.196, 3 0.197) |
| +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 | 0.010913 |
| pos_bandwidth | 0.010913 |
| 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 | 0.010913 |
| pos_bandwidth | 0.010913 |
| 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_52 | |
|---|---|
| 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_52 |
| 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 | 2017-02-20T14:42:25 (id: 1) |
| database_refresh | 2017-02-20T14:42:13 (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 | 0.5119 | 0.0000 | 19635 | 0 |
| 0.9990 | 0.6015 | 0.0001 | 23070 | 2 |
| 0.9900 | 0.7140 | 0.0007 | 27385 | 20 |
| 0.9800 | 0.7523 | 0.0014 | 28855 | 41 |
| 0.9500 | 0.8069 | 0.0036 | 30951 | 113 |
| 0.9000 | 0.8538 | 0.0077 | 32748 | 254 |
| 0.8500 | 0.8837 | 0.0121 | 33898 | 416 |
| 0.8000 | 0.9054 | 0.0168 | 34730 | 592 |
| 0.7500 | 0.9235 | 0.0219 | 35423 | 793 |
| 0.7000 | 0.9371 | 0.0268 | 35944 | 989 |
| 0.6500 | 0.9451 | 0.0304 | 36252 | 1137 |
| 0.6000 | 0.9516 | 0.0340 | 36501 | 1285 |
| 0.5500 | 0.9565 | 0.0373 | 36688 | 1422 |
| 0.5000 | 0.9615 | 0.0415 | 36881 | 1599 |
| 0.4500 | 0.9662 | 0.0462 | 37060 | 1796 |
| 0.4000 | 0.9701 | 0.0510 | 37211 | 2000 |
| 0.3500 | 0.9739 | 0.0567 | 37357 | 2243 |
| 0.3000 | 0.9776 | 0.0632 | 37496 | 2531 |
| 0.2500 | 0.9810 | 0.0711 | 37629 | 2880 |
| 0.2000 | 0.9850 | 0.0829 | 37783 | 3417 |
| 0.1500 | 0.9890 | 0.0983 | 37935 | 4136 |
| 0.1000 | 0.9927 | 0.1189 | 38076 | 5140 |
| 0.0500 | 0.9963 | 0.1531 | 38214 | 6910 |
| 0.0000 | 1.0000 | 0.5870 | 38357 | 54520 |
| +2 only | ||||
| 0.9999 | 0.4859 | 0.0000 | 11065 | 0 |
| 0.9990 | 0.5811 | 0.0001 | 13233 | 1 |
| 0.9900 | 0.7043 | 0.0008 | 16038 | 13 |
| 0.9800 | 0.7457 | 0.0016 | 16981 | 27 |
| 0.9500 | 0.8064 | 0.0040 | 18364 | 74 |
| 0.9000 | 0.8566 | 0.0083 | 19506 | 164 |
| 0.8500 | 0.8896 | 0.0132 | 20259 | 270 |
| 0.8000 | 0.9119 | 0.0179 | 20767 | 378 |
| 0.7500 | 0.9307 | 0.0231 | 21195 | 502 |
| 0.7000 | 0.9440 | 0.0278 | 21497 | 615 |
| 0.6500 | 0.9497 | 0.0304 | 21627 | 677 |
| 0.6000 | 0.9549 | 0.0333 | 21746 | 749 |
| 0.5500 | 0.9593 | 0.0363 | 21846 | 822 |
| 0.5000 | 0.9645 | 0.0406 | 21964 | 930 |
| 0.4500 | 0.9690 | 0.0451 | 22066 | 1042 |
| 0.4000 | 0.9724 | 0.0493 | 22145 | 1149 |
| 0.3500 | 0.9758 | 0.0544 | 22221 | 1278 |
| 0.3000 | 0.9792 | 0.0606 | 22299 | 1437 |
| 0.2500 | 0.9824 | 0.0678 | 22371 | 1628 |
| 0.2000 | 0.9862 | 0.0790 | 22457 | 1926 |
| 0.1500 | 0.9898 | 0.0931 | 22540 | 2315 |
| 0.1000 | 0.9934 | 0.1136 | 22622 | 2900 |
| 0.0500 | 0.9969 | 0.1470 | 22701 | 3911 |
| 0.0000 | 1.0000 | 0.5332 | 22773 | 26007 |
| +3 only | ||||
| 0.9999 | 0.5693 | 0.0000 | 7244 | 0 |
| 0.9990 | 0.6466 | 0.0001 | 8227 | 1 |
| 0.9900 | 0.7382 | 0.0005 | 9392 | 5 |
| 0.9800 | 0.7687 | 0.0011 | 9780 | 11 |
| 0.9500 | 0.8133 | 0.0029 | 10348 | 30 |
| 0.9000 | 0.8538 | 0.0064 | 10864 | 70 |
| 0.8500 | 0.8785 | 0.0101 | 11177 | 115 |
| 0.8000 | 0.8997 | 0.0148 | 11447 | 172 |
| 0.7500 | 0.9169 | 0.0198 | 11666 | 235 |
| 0.7000 | 0.9306 | 0.0248 | 11840 | 301 |
| 0.6500 | 0.9425 | 0.0302 | 11991 | 374 |
| 0.6000 | 0.9500 | 0.0343 | 12087 | 429 |
| 0.5500 | 0.9552 | 0.0379 | 12153 | 479 |
| 0.5000 | 0.9596 | 0.0416 | 12209 | 530 |
| 0.4500 | 0.9645 | 0.0466 | 12272 | 599 |
| 0.4000 | 0.9687 | 0.0517 | 12325 | 672 |
| 0.3500 | 0.9726 | 0.0574 | 12375 | 754 |
| 0.3000 | 0.9766 | 0.0646 | 12425 | 858 |
| 0.2500 | 0.9802 | 0.0729 | 12472 | 980 |
| 0.2000 | 0.9844 | 0.0853 | 12525 | 1168 |
| 0.1500 | 0.9886 | 0.1014 | 12578 | 1420 |
| 0.1000 | 0.9921 | 0.1209 | 12623 | 1736 |
| 0.0500 | 0.9958 | 0.1560 | 12670 | 2342 |
| 0.0000 | 1.0000 | 0.6198 | 12723 | 20744 |
| +4 only | ||||
| 0.9999 | 0.4889 | 0.0000 | 1271 | 0 |
| 0.9990 | 0.5866 | 0.0001 | 1525 | 0 |
| 0.9900 | 0.7042 | 0.0008 | 1831 | 1 |
| 0.9800 | 0.7489 | 0.0016 | 1947 | 3 |
| 0.9500 | 0.7954 | 0.0035 | 2068 | 7 |
| 0.9000 | 0.8407 | 0.0075 | 2185 | 17 |
| 0.8500 | 0.8698 | 0.0118 | 2261 | 27 |
| 0.8000 | 0.8873 | 0.0156 | 2307 | 36 |
| 0.7500 | 0.9007 | 0.0195 | 2341 | 47 |
| 0.7000 | 0.9163 | 0.0253 | 2382 | 62 |
| 0.6500 | 0.9262 | 0.0299 | 2408 | 74 |
| 0.6000 | 0.9377 | 0.0365 | 2438 | 92 |
| 0.5500 | 0.9442 | 0.0409 | 2454 | 105 |
| 0.5000 | 0.9508 | 0.0464 | 2472 | 120 |
| 0.4500 | 0.9556 | 0.0511 | 2484 | 134 |
| 0.4000 | 0.9612 | 0.0578 | 2499 | 153 |
| 0.3500 | 0.9676 | 0.0670 | 2515 | 181 |
| 0.3000 | 0.9714 | 0.0737 | 2525 | 201 |
| 0.2500 | 0.9761 | 0.0843 | 2538 | 233 |
| 0.2000 | 0.9810 | 0.0982 | 2550 | 278 |
| 0.1500 | 0.9862 | 0.1178 | 2564 | 342 |
| 0.1000 | 0.9908 | 0.1423 | 2576 | 427 |
| 0.0500 | 0.9943 | 0.1749 | 2585 | 548 |
| 0.0000 | 1.0000 | 0.6921 | 2600 | 5842 |
| +5 only | ||||
| 0.9999 | 0.2103 | 0.0000 | 55 | 0 |
| 0.9990 | 0.3250 | 0.0002 | 85 | 0 |
| 0.9900 | 0.4773 | 0.0015 | 125 | 0 |
| 0.9800 | 0.5602 | 0.0034 | 146 | 1 |
| 0.9500 | 0.6564 | 0.0078 | 172 | 1 |
| 0.9000 | 0.7380 | 0.0154 | 193 | 3 |
| 0.8500 | 0.7678 | 0.0206 | 201 | 4 |
| 0.8000 | 0.7994 | 0.0278 | 209 | 6 |
| 0.7500 | 0.8440 | 0.0404 | 221 | 9 |
| 0.7000 | 0.8607 | 0.0463 | 225 | 11 |
| 0.6500 | 0.8658 | 0.0487 | 226 | 12 |
| 0.6000 | 0.8823 | 0.0583 | 231 | 14 |
| 0.5500 | 0.8956 | 0.0669 | 234 | 17 |
| 0.5000 | 0.9035 | 0.0735 | 236 | 19 |
| 0.4500 | 0.9108 | 0.0804 | 238 | 21 |
| 0.4000 | 0.9252 | 0.0972 | 242 | 26 |
| 0.3500 | 0.9367 | 0.1125 | 245 | 31 |
| 0.3000 | 0.9444 | 0.1243 | 247 | 35 |
| 0.2500 | 0.9498 | 0.1346 | 248 | 39 |
| 0.2000 | 0.9577 | 0.1539 | 250 | 46 |
| 0.1500 | 0.9683 | 0.1884 | 253 | 59 |
| 0.1000 | 0.9779 | 0.2298 | 256 | 76 |
| 0.0500 | 0.9874 | 0.2965 | 258 | 109 |
| 0.0000 | 1.0000 | 0.8805 | 261 | 1927 |
| Error Table | |||
| Error_Rate | min_prob | num_correct | num_incorrect |
|---|---|---|---|
| 0.0000 | 1.0000 | 6957 | 0 |
| 0.0001 | 0.9986 | 23498 | 2 |
| 0.0002 | 0.9972 | 24814 | 5 |
| 0.0003 | 0.9959 | 25616 | 8 |
| 0.0004 | 0.9944 | 26196 | 10 |
| 0.0005 | 0.9930 | 26647 | 13 |
| 0.0006 | 0.9916 | 27021 | 16 |
| 0.0007 | 0.9902 | 27340 | 19 |
| 0.0008 | 0.9888 | 27619 | 22 |
| 0.0009 | 0.9875 | 27868 | 25 |
| 0.0010 | 0.9860 | 28093 | 28 |
| 0.0015 | 0.9790 | 28966 | 44 |
| 0.0020 | 0.9719 | 29598 | 59 |
| 0.0025 | 0.9652 | 30097 | 75 |
| 0.0030 | 0.9581 | 30507 | 92 |
| 0.0040 | 0.9455 | 31169 | 125 |
| 0.0050 | 0.9333 | 31699 | 159 |
| 0.0060 | 0.9209 | 32140 | 194 |
| 0.0070 | 0.9081 | 32519 | 229 |
| 0.0080 | 0.8963 | 32847 | 265 |
| 0.0090 | 0.8854 | 33143 | 301 |
| 0.0100 | 0.8729 | 33407 | 338 |
| 0.0150 | 0.8186 | 34445 | 525 |
| 0.0200 | 0.7677 | 35190 | 718 |
| 0.0250 | 0.7196 | 35769 | 918 |
| 0.0300 | 0.6552 | 36222 | 1121 |
| 0.0400 | 0.5149 | 36815 | 1535 |
| 0.0500 | 0.4090 | 37182 | 1958 |
| 0.0750 | 0.2319 | 37685 | 3056 |
| 0.1000 | 0.1447 | 37949 | 4218 |
| +2 only | |||
| 0.0000 | 1.0000 | 4183 | 0 |
| 0.0001 | 0.9988 | 13395 | 1 |
| 0.0002 | 0.9975 | 14227 | 3 |
| 0.0003 | 0.9963 | 14731 | 4 |
| 0.0004 | 0.9950 | 15102 | 6 |
| 0.0005 | 0.9937 | 15396 | 8 |
| 0.0006 | 0.9924 | 15639 | 9 |
| 0.0007 | 0.9912 | 15846 | 11 |
| 0.0008 | 0.9900 | 16029 | 13 |
| 0.0009 | 0.9888 | 16193 | 15 |
| 0.0010 | 0.9876 | 16342 | 16 |
| 0.0015 | 0.9809 | 16916 | 25 |
| 0.0020 | 0.9744 | 17329 | 35 |
| 0.0025 | 0.9681 | 17651 | 44 |
| 0.0030 | 0.9619 | 17918 | 54 |
| 0.0040 | 0.9504 | 18351 | 74 |
| 0.0050 | 0.9385 | 18696 | 94 |
| 0.0060 | 0.9271 | 18983 | 115 |
| 0.0070 | 0.9157 | 19228 | 136 |
| 0.0080 | 0.9028 | 19442 | 157 |
| 0.0090 | 0.8931 | 19633 | 178 |
| 0.0100 | 0.8824 | 19805 | 200 |
| 0.0150 | 0.8299 | 20478 | 312 |
| 0.0200 | 0.7786 | 20956 | 428 |
| 0.0250 | 0.7311 | 21325 | 547 |
| 0.0300 | 0.6560 | 21611 | 669 |
| 0.0400 | 0.5051 | 21949 | 915 |
| 0.0500 | 0.3918 | 22156 | 1167 |
| 0.0750 | 0.2159 | 22429 | 1820 |
| 0.1000 | 0.1312 | 22571 | 2509 |
| +3 only | |||
| 0.0000 | 1.0000 | 2285 | 0 |
| 0.0001 | 0.9983 | 8468 | 1 |
| 0.0002 | 0.9967 | 8847 | 2 |
| 0.0003 | 0.9948 | 9074 | 3 |
| 0.0004 | 0.9928 | 9229 | 4 |
| 0.0005 | 0.9910 | 9351 | 5 |
| 0.0006 | 0.9889 | 9448 | 6 |
| 0.0007 | 0.9871 | 9530 | 7 |
| 0.0008 | 0.9852 | 9602 | 8 |
| 0.0009 | 0.9838 | 9667 | 9 |
| 0.0010 | 0.9816 | 9725 | 10 |
| 0.0015 | 0.9735 | 9954 | 15 |
| 0.0020 | 0.9655 | 10126 | 20 |
| 0.0025 | 0.9559 | 10258 | 26 |
| 0.0030 | 0.9489 | 10368 | 31 |
| 0.0040 | 0.9348 | 10550 | 42 |
| 0.0050 | 0.9198 | 10696 | 54 |
| 0.0060 | 0.9061 | 10818 | 65 |
| 0.0070 | 0.8923 | 10922 | 77 |
| 0.0080 | 0.8783 | 11013 | 89 |
| 0.0090 | 0.8667 | 11095 | 101 |
| 0.0100 | 0.8522 | 11169 | 113 |
| 0.0150 | 0.7979 | 11458 | 175 |
| 0.0200 | 0.7479 | 11676 | 239 |
| 0.0250 | 0.6980 | 11849 | 304 |
| 0.0300 | 0.6511 | 11987 | 371 |
| 0.0400 | 0.5180 | 12187 | 509 |
| 0.0500 | 0.4156 | 12310 | 648 |
| 0.0750 | 0.2399 | 12482 | 1013 |
| 0.1000 | 0.1544 | 12574 | 1399 |
| +4 only | |||
| 0.0000 | 1.0000 | 453 | 0 |
| 0.0001 | 0.9988 | 1538 | 0 |
| 0.0002 | 0.9975 | 1635 | 0 |
| 0.0003 | 0.9960 | 1692 | 1 |
| 0.0004 | 0.9949 | 1733 | 1 |
| 0.0005 | 0.9936 | 1766 | 1 |
| 0.0006 | 0.9920 | 1794 | 1 |
| 0.0007 | 0.9909 | 1816 | 1 |
| 0.0008 | 0.9898 | 1837 | 1 |
| 0.0009 | 0.9888 | 1855 | 2 |
| 0.0010 | 0.9875 | 1872 | 2 |
| 0.0015 | 0.9811 | 1938 | 3 |
| 0.0020 | 0.9730 | 1984 | 4 |
| 0.0025 | 0.9649 | 2018 | 5 |
| 0.0030 | 0.9584 | 2046 | 6 |
| 0.0040 | 0.9421 | 2089 | 8 |
| 0.0050 | 0.9325 | 2123 | 11 |
| 0.0060 | 0.9183 | 2152 | 13 |
| 0.0070 | 0.9042 | 2176 | 15 |
| 0.0080 | 0.8953 | 2197 | 18 |
| 0.0090 | 0.8862 | 2217 | 20 |
| 0.0100 | 0.8733 | 2234 | 23 |
| 0.0150 | 0.8098 | 2302 | 35 |
| 0.0200 | 0.7436 | 2347 | 48 |
| 0.0250 | 0.7030 | 2381 | 61 |
| 0.0300 | 0.6497 | 2409 | 75 |
| 0.0400 | 0.5613 | 2452 | 103 |
| 0.0500 | 0.4598 | 2482 | 132 |
| 0.0750 | 0.2925 | 2527 | 206 |
| 0.1000 | 0.1909 | 2552 | 285 |
| +5 only | |||
| 0.0000 | 1.0000 | 42 | 0 |
| 0.0001 | 0.9994 | 74 | 0 |
| 0.0002 | 0.9989 | 87 | 0 |
| 0.0003 | 0.9983 | 95 | 0 |
| 0.0004 | 0.9977 | 101 | 0 |
| 0.0005 | 0.9970 | 105 | 0 |
| 0.0006 | 0.9957 | 109 | 0 |
| 0.0007 | 0.9949 | 112 | 0 |
| 0.0008 | 0.9941 | 114 | 0 |
| 0.0009 | 0.9938 | 116 | 0 |
| 0.0010 | 0.9934 | 118 | 0 |
| 0.0015 | 0.9892 | 127 | 0 |
| 0.0020 | 0.9874 | 133 | 0 |
| 0.0025 | 0.9853 | 139 | 0 |
| 0.0030 | 0.9835 | 144 | 0 |
| 0.0040 | 0.9774 | 152 | 1 |
| 0.0050 | 0.9706 | 159 | 1 |
| 0.0060 | 0.9617 | 165 | 1 |
| 0.0070 | 0.9557 | 170 | 1 |
| 0.0080 | 0.9479 | 174 | 1 |
| 0.0090 | 0.9432 | 177 | 2 |
| 0.0100 | 0.9356 | 181 | 2 |
| 0.0150 | 0.9010 | 194 | 3 |
| 0.0200 | 0.8505 | 202 | 4 |
| 0.0250 | 0.8117 | 207 | 6 |
| 0.0300 | 0.7885 | 212 | 7 |
| 0.0400 | 0.7570 | 221 | 10 |
| 0.0500 | 0.6196 | 228 | 13 |
| 0.0750 | 0.4825 | 237 | 20 |
| 0.1000 | 0.3921 | 243 | 28 |
| peptideprophet | |
|---|---|
| time | 2017-02-20T14:42:25 |
| author | AKeller@ISB |
| est_tot_num_correct | 38356.9 |
| 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_52.pep.xml |
| database_refresh | |
| time | 2017-02-20T14:42:13 |
| interact | |
| time | 2017-02-20T14:41:30 |
| directory | /home/sean/Documents/proteome |
| filename | /home/sean/Documents/proteome/interact-20161205_Sample_52.pep.xml |
| directory | /home/sean/Documents/proteome |
| inputfile | 20161205_Sample_52.pep.xml |
| tpp_models | |
| time | Mon Feb 20 14:44:39 2017 |