| +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 | 0.010778 |
| pos_bandwidth | 0.010778 |
| 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 | 20461.7 |
| num_iterations | 27 |
| prior_probability | 0.575 |
| tot_num_spectra | 50325 |
| Comet discrim score [fval] negmean: -2.08 | |
| pos model | gaussian (mean 2.69, stdev 2.16) |
| neg model | gaussian (mean -1.03, stdev 1.05) |
| no. tolerable trypsin term. [ntt] | |
| pos model | (ntt=0 0.000, ntt=1 0.001, 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 0.933, 1<=nmc<=2 0.067, nmc>=3 0.000) |
| neg model | (nmc=0 0.495, 1<=nmc<=2 0.503, nmc>=3 0.001) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010778 |
| pos_bandwidth | 0.010778 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.035, 0 0.851, 1 0.106, 2 0.009, 3 0.000) |
| neg model | (-3 0.000, -2 0.000, -1 0.306, 0 0.308, 1 0.169, 2 0.119, 3 0.099) |
| +3 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 11613.0 |
| num_iterations | 26 |
| prior_probability | 0.499 |
| tot_num_spectra | 34253 |
| Comet discrim score [fval] negmean: -1.68 | |
| pos model | gaussian (mean 3.94, stdev 2.46) |
| 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 0.021, ntt=2 0.979) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.813, 1<=nmc<=2 0.187, nmc>=3 0.000) |
| neg model | (nmc=0 0.293, 1<=nmc<=2 0.700, nmc>=3 0.007) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010778 |
| pos_bandwidth | 0.010778 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.023, 0 0.756, 1 0.163, 2 0.051, 3 0.006) |
| neg model | (-3 0.000, -2 0.000, -1 0.238, 0 0.222, 1 0.198, 2 0.178, 3 0.164) |
| +4 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 2246.5 |
| num_iterations | 28 |
| prior_probability | 0.433 |
| tot_num_spectra | 7983 |
| Comet discrim score [fval] negmean: -2.04 | |
| pos model | gaussian (mean 1.78, 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 0.025, ntt=2 0.975) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.645, 1<=nmc<=2 0.355, nmc>=3 0.000) |
| neg model | (nmc=0 0.189, 1<=nmc<=2 0.790, nmc>=3 0.020) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010778 |
| pos_bandwidth | 0.010778 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.020, 0 0.757, 1 0.165, 2 0.045, 3 0.012) |
| neg model | (-3 0.000, -2 0.000, -1 0.216, 0 0.210, 1 0.205, 2 0.183, 3 0.187) |
| +5 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 214.3 |
| num_iterations | 27 |
| prior_probability | 0.218 |
| tot_num_spectra | 1790 |
| Comet discrim score [fval] negmean: -2.91 | |
| pos model | gaussian (mean 1.69, stdev 1.49) |
| neg model | gaussian (mean -1.77, stdev 1.15) |
| 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 0.486, 1<=nmc<=2 0.513, nmc>=3 0.000) |
| neg model | (nmc=0 0.146, 1<=nmc<=2 0.833, nmc>=3 0.021) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010778 |
| pos_bandwidth | 0.010778 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.006, 0 0.866, 1 0.100, 2 0.019, 3 0.009) |
| neg model | (-3 0.000, -2 0.000, -1 0.219, 0 0.191, 1 0.205, 2 0.196, 3 0.190) |
| +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 | 0.010778 |
| pos_bandwidth | 0.010778 |
| 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 | 0.010778 |
| pos_bandwidth | 0.010778 |
| 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_27 | |
|---|---|
| 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_27 |
| 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 | 2017-02-20T13:27:55 (id: 1) |
| database_refresh | 2017-02-20T13:27:44 (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 | 0.5054 | 0.0000 | 17456 | 0 |
| 0.9990 | 0.5901 | 0.0001 | 20378 | 2 |
| 0.9900 | 0.6997 | 0.0007 | 24165 | 17 |
| 0.9800 | 0.7362 | 0.0014 | 25426 | 36 |
| 0.9500 | 0.7905 | 0.0037 | 27301 | 101 |
| 0.9000 | 0.8358 | 0.0077 | 28865 | 224 |
| 0.8500 | 0.8656 | 0.0122 | 29894 | 369 |
| 0.8000 | 0.8889 | 0.0172 | 30697 | 538 |
| 0.7500 | 0.9075 | 0.0226 | 31341 | 724 |
| 0.7000 | 0.9226 | 0.0281 | 31863 | 923 |
| 0.6500 | 0.9360 | 0.0342 | 32326 | 1146 |
| 0.6000 | 0.9444 | 0.0388 | 32615 | 1318 |
| 0.5500 | 0.9501 | 0.0427 | 32812 | 1464 |
| 0.5000 | 0.9554 | 0.0471 | 32996 | 1629 |
| 0.4500 | 0.9609 | 0.0525 | 33184 | 1838 |
| 0.4000 | 0.9654 | 0.0579 | 33339 | 2048 |
| 0.3500 | 0.9699 | 0.0645 | 33496 | 2310 |
| 0.3000 | 0.9740 | 0.0719 | 33638 | 2606 |
| 0.2500 | 0.9780 | 0.0808 | 33777 | 2969 |
| 0.2000 | 0.9824 | 0.0933 | 33927 | 3489 |
| 0.1500 | 0.9868 | 0.1101 | 34080 | 4218 |
| 0.1000 | 0.9914 | 0.1350 | 34239 | 5344 |
| 0.0500 | 0.9955 | 0.1727 | 34381 | 7175 |
| 0.0000 | 1.0000 | 0.6340 | 34536 | 59815 |
| +2 only | ||||
| 0.9999 | 0.4840 | 0.0000 | 9904 | 0 |
| 0.9990 | 0.5735 | 0.0001 | 11735 | 1 |
| 0.9900 | 0.6904 | 0.0008 | 14127 | 11 |
| 0.9800 | 0.7285 | 0.0015 | 14907 | 22 |
| 0.9500 | 0.7867 | 0.0039 | 16097 | 64 |
| 0.9000 | 0.8359 | 0.0083 | 17104 | 143 |
| 0.8500 | 0.8671 | 0.0130 | 17743 | 233 |
| 0.8000 | 0.8927 | 0.0184 | 18267 | 343 |
| 0.7500 | 0.9125 | 0.0240 | 18671 | 460 |
| 0.7000 | 0.9281 | 0.0297 | 18991 | 582 |
| 0.6500 | 0.9419 | 0.0359 | 19274 | 718 |
| 0.6000 | 0.9485 | 0.0395 | 19408 | 798 |
| 0.5500 | 0.9539 | 0.0431 | 19519 | 879 |
| 0.5000 | 0.9581 | 0.0465 | 19604 | 956 |
| 0.4500 | 0.9632 | 0.0516 | 19708 | 1073 |
| 0.4000 | 0.9676 | 0.0568 | 19798 | 1193 |
| 0.3500 | 0.9715 | 0.0627 | 19879 | 1329 |
| 0.3000 | 0.9757 | 0.0702 | 19965 | 1507 |
| 0.2500 | 0.9793 | 0.0783 | 20039 | 1702 |
| 0.2000 | 0.9833 | 0.0898 | 20121 | 1986 |
| 0.1500 | 0.9874 | 0.1056 | 20205 | 2385 |
| 0.1000 | 0.9920 | 0.1307 | 20298 | 3051 |
| 0.0500 | 0.9960 | 0.1673 | 20380 | 4094 |
| 0.0000 | 1.0000 | 0.5934 | 20462 | 29863 |
| +3 only | ||||
| 0.9999 | 0.5561 | 0.0000 | 6458 | 0 |
| 0.9990 | 0.6316 | 0.0001 | 7335 | 0 |
| 0.9900 | 0.7251 | 0.0006 | 8421 | 5 |
| 0.9800 | 0.7566 | 0.0012 | 8787 | 10 |
| 0.9500 | 0.8037 | 0.0031 | 9334 | 29 |
| 0.9000 | 0.8411 | 0.0065 | 9768 | 63 |
| 0.8500 | 0.8677 | 0.0105 | 10077 | 107 |
| 0.8000 | 0.8869 | 0.0147 | 10300 | 153 |
| 0.7500 | 0.9040 | 0.0197 | 10498 | 211 |
| 0.7000 | 0.9187 | 0.0252 | 10668 | 276 |
| 0.6500 | 0.9317 | 0.0312 | 10820 | 349 |
| 0.6000 | 0.9430 | 0.0376 | 10952 | 427 |
| 0.5500 | 0.9483 | 0.0411 | 11012 | 473 |
| 0.5000 | 0.9542 | 0.0460 | 11081 | 535 |
| 0.4500 | 0.9596 | 0.0515 | 11144 | 605 |
| 0.4000 | 0.9644 | 0.0571 | 11200 | 678 |
| 0.3500 | 0.9698 | 0.0650 | 11262 | 783 |
| 0.3000 | 0.9736 | 0.0718 | 11306 | 875 |
| 0.2500 | 0.9777 | 0.0811 | 11355 | 1002 |
| 0.2000 | 0.9823 | 0.0941 | 11407 | 1186 |
| 0.1500 | 0.9871 | 0.1122 | 11463 | 1448 |
| 0.1000 | 0.9912 | 0.1344 | 11511 | 1787 |
| 0.0500 | 0.9952 | 0.1714 | 11558 | 2391 |
| 0.0000 | 1.0000 | 0.6610 | 11613 | 22640 |
| +4 only | ||||
| 0.9999 | 0.4634 | 0.0000 | 1041 | 0 |
| 0.9990 | 0.5497 | 0.0001 | 1235 | 0 |
| 0.9900 | 0.6694 | 0.0008 | 1504 | 1 |
| 0.9800 | 0.7168 | 0.0017 | 1610 | 3 |
| 0.9500 | 0.7705 | 0.0041 | 1731 | 7 |
| 0.9000 | 0.8175 | 0.0084 | 1836 | 16 |
| 0.8500 | 0.8484 | 0.0130 | 1906 | 25 |
| 0.8000 | 0.8723 | 0.0183 | 1959 | 37 |
| 0.7500 | 0.8874 | 0.0228 | 1994 | 46 |
| 0.7000 | 0.8994 | 0.0273 | 2020 | 57 |
| 0.6500 | 0.9098 | 0.0322 | 2044 | 68 |
| 0.6000 | 0.9190 | 0.0375 | 2065 | 80 |
| 0.5500 | 0.9303 | 0.0453 | 2090 | 99 |
| 0.5000 | 0.9425 | 0.0552 | 2117 | 124 |
| 0.4500 | 0.9503 | 0.0629 | 2135 | 143 |
| 0.4000 | 0.9548 | 0.0683 | 2145 | 157 |
| 0.3500 | 0.9599 | 0.0757 | 2156 | 177 |
| 0.3000 | 0.9647 | 0.0840 | 2167 | 199 |
| 0.2500 | 0.9703 | 0.0963 | 2180 | 232 |
| 0.2000 | 0.9763 | 0.1131 | 2193 | 280 |
| 0.1500 | 0.9816 | 0.1322 | 2205 | 336 |
| 0.1000 | 0.9882 | 0.1651 | 2220 | 439 |
| 0.0500 | 0.9934 | 0.2098 | 2232 | 592 |
| 0.0000 | 1.0000 | 0.7186 | 2246 | 5737 |
| +5 only | ||||
| 0.9999 | 0.2473 | 0.0000 | 53 | 0 |
| 0.9990 | 0.3452 | 0.0001 | 74 | 0 |
| 0.9900 | 0.5265 | 0.0014 | 113 | 0 |
| 0.9800 | 0.5725 | 0.0025 | 123 | 0 |
| 0.9500 | 0.6492 | 0.0062 | 139 | 1 |
| 0.9000 | 0.7319 | 0.0136 | 157 | 2 |
| 0.8500 | 0.7848 | 0.0221 | 168 | 4 |
| 0.8000 | 0.8003 | 0.0255 | 172 | 4 |
| 0.7500 | 0.8325 | 0.0356 | 178 | 7 |
| 0.7000 | 0.8561 | 0.0444 | 183 | 9 |
| 0.6500 | 0.8782 | 0.0542 | 188 | 11 |
| 0.6000 | 0.8898 | 0.0606 | 191 | 12 |
| 0.5500 | 0.8926 | 0.0623 | 191 | 13 |
| 0.5000 | 0.9023 | 0.0704 | 193 | 15 |
| 0.4500 | 0.9155 | 0.0832 | 196 | 18 |
| 0.4000 | 0.9195 | 0.0877 | 197 | 19 |
| 0.3500 | 0.9267 | 0.0972 | 199 | 21 |
| 0.3000 | 0.9345 | 0.1099 | 200 | 25 |
| 0.2500 | 0.9486 | 0.1386 | 203 | 33 |
| 0.2000 | 0.9559 | 0.1570 | 205 | 38 |
| 0.1500 | 0.9664 | 0.1910 | 207 | 49 |
| 0.1000 | 0.9791 | 0.2425 | 210 | 67 |
| 0.0500 | 0.9897 | 0.3136 | 212 | 97 |
| 0.0000 | 1.0000 | 0.8803 | 214 | 1576 |
| Error Table | |||
| Error_Rate | min_prob | num_correct | num_incorrect |
|---|---|---|---|
| 0.0000 | 1.0000 | 6277 | 0 |
| 0.0001 | 0.9987 | 20794 | 2 |
| 0.0002 | 0.9972 | 21964 | 4 |
| 0.0003 | 0.9958 | 22659 | 7 |
| 0.0004 | 0.9944 | 23169 | 9 |
| 0.0005 | 0.9929 | 23565 | 12 |
| 0.0006 | 0.9914 | 23891 | 14 |
| 0.0007 | 0.9900 | 24166 | 17 |
| 0.0008 | 0.9886 | 24407 | 20 |
| 0.0009 | 0.9870 | 24620 | 22 |
| 0.0010 | 0.9855 | 24810 | 25 |
| 0.0015 | 0.9786 | 25558 | 38 |
| 0.0020 | 0.9714 | 26101 | 52 |
| 0.0025 | 0.9646 | 26531 | 67 |
| 0.0030 | 0.9579 | 26888 | 81 |
| 0.0040 | 0.9461 | 27474 | 110 |
| 0.0050 | 0.9328 | 27941 | 141 |
| 0.0060 | 0.9203 | 28329 | 171 |
| 0.0070 | 0.9084 | 28659 | 202 |
| 0.0080 | 0.8974 | 28949 | 234 |
| 0.0090 | 0.8858 | 29212 | 265 |
| 0.0100 | 0.8743 | 29447 | 298 |
| 0.0150 | 0.8229 | 30376 | 463 |
| 0.0200 | 0.7735 | 31054 | 634 |
| 0.0250 | 0.7271 | 31584 | 810 |
| 0.0300 | 0.6823 | 32016 | 990 |
| 0.0400 | 0.5846 | 32680 | 1362 |
| 0.0500 | 0.4706 | 33102 | 1743 |
| 0.0750 | 0.2826 | 33691 | 2733 |
| 0.1000 | 0.1782 | 33994 | 3778 |
| +2 only | |||
| 0.0000 | 1.0000 | 3693 | 0 |
| 0.0001 | 0.9987 | 11908 | 1 |
| 0.0002 | 0.9974 | 12639 | 3 |
| 0.0003 | 0.9961 | 13079 | 4 |
| 0.0004 | 0.9949 | 13402 | 5 |
| 0.0005 | 0.9935 | 13654 | 7 |
| 0.0006 | 0.9922 | 13862 | 8 |
| 0.0007 | 0.9908 | 14038 | 10 |
| 0.0008 | 0.9894 | 14190 | 11 |
| 0.0009 | 0.9880 | 14326 | 13 |
| 0.0010 | 0.9866 | 14447 | 14 |
| 0.0015 | 0.9798 | 14916 | 22 |
| 0.0020 | 0.9732 | 15255 | 31 |
| 0.0025 | 0.9669 | 15527 | 39 |
| 0.0030 | 0.9600 | 15752 | 47 |
| 0.0040 | 0.9493 | 16118 | 65 |
| 0.0050 | 0.9374 | 16414 | 83 |
| 0.0060 | 0.9255 | 16660 | 101 |
| 0.0070 | 0.9139 | 16871 | 119 |
| 0.0080 | 0.9028 | 17056 | 138 |
| 0.0090 | 0.8926 | 17222 | 157 |
| 0.0100 | 0.8808 | 17371 | 176 |
| 0.0150 | 0.8324 | 17958 | 274 |
| 0.0200 | 0.7866 | 18391 | 376 |
| 0.0250 | 0.7396 | 18731 | 481 |
| 0.0300 | 0.6979 | 19006 | 588 |
| 0.0400 | 0.5933 | 19426 | 810 |
| 0.0500 | 0.4651 | 19678 | 1036 |
| 0.0750 | 0.2720 | 20011 | 1624 |
| 0.1000 | 0.1656 | 20178 | 2243 |
| +3 only | |||
| 0.0000 | 1.0000 | 2125 | 0 |
| 0.0001 | 0.9984 | 7557 | 1 |
| 0.0002 | 0.9966 | 7896 | 2 |
| 0.0003 | 0.9948 | 8095 | 2 |
| 0.0004 | 0.9930 | 8237 | 3 |
| 0.0005 | 0.9913 | 8349 | 4 |
| 0.0006 | 0.9897 | 8442 | 5 |
| 0.0007 | 0.9876 | 8520 | 6 |
| 0.0008 | 0.9857 | 8587 | 7 |
| 0.0009 | 0.9841 | 8647 | 8 |
| 0.0010 | 0.9829 | 8702 | 9 |
| 0.0015 | 0.9743 | 8922 | 13 |
| 0.0020 | 0.9665 | 9080 | 18 |
| 0.0025 | 0.9585 | 9206 | 23 |
| 0.0030 | 0.9515 | 9311 | 28 |
| 0.0040 | 0.9364 | 9482 | 38 |
| 0.0050 | 0.9199 | 9616 | 48 |
| 0.0060 | 0.9058 | 9724 | 59 |
| 0.0070 | 0.8944 | 9820 | 69 |
| 0.0080 | 0.8822 | 9904 | 80 |
| 0.0090 | 0.8692 | 9979 | 91 |
| 0.0100 | 0.8558 | 10046 | 102 |
| 0.0150 | 0.7976 | 10315 | 157 |
| 0.0200 | 0.7470 | 10509 | 215 |
| 0.0250 | 0.7013 | 10664 | 274 |
| 0.0300 | 0.6582 | 10792 | 334 |
| 0.0400 | 0.5622 | 10995 | 459 |
| 0.0500 | 0.4639 | 11129 | 587 |
| 0.0750 | 0.2823 | 11325 | 919 |
| 0.1000 | 0.1815 | 11428 | 1271 |
| +4 only | |||
| 0.0000 | 1.0000 | 421 | 0 |
| 0.0001 | 0.9988 | 1250 | 0 |
| 0.0002 | 0.9975 | 1330 | 0 |
| 0.0003 | 0.9965 | 1380 | 0 |
| 0.0004 | 0.9955 | 1417 | 1 |
| 0.0005 | 0.9942 | 1448 | 1 |
| 0.0006 | 0.9927 | 1473 | 1 |
| 0.0007 | 0.9907 | 1492 | 1 |
| 0.0008 | 0.9898 | 1508 | 1 |
| 0.0009 | 0.9887 | 1524 | 1 |
| 0.0010 | 0.9880 | 1537 | 2 |
| 0.0015 | 0.9821 | 1594 | 2 |
| 0.0020 | 0.9746 | 1634 | 3 |
| 0.0025 | 0.9678 | 1664 | 4 |
| 0.0030 | 0.9607 | 1689 | 5 |
| 0.0040 | 0.9508 | 1729 | 7 |
| 0.0050 | 0.9376 | 1761 | 9 |
| 0.0060 | 0.9246 | 1788 | 11 |
| 0.0070 | 0.9143 | 1810 | 13 |
| 0.0080 | 0.9041 | 1830 | 15 |
| 0.0090 | 0.8942 | 1849 | 17 |
| 0.0100 | 0.8864 | 1865 | 19 |
| 0.0150 | 0.8275 | 1929 | 30 |
| 0.0200 | 0.7802 | 1974 | 41 |
| 0.0250 | 0.7285 | 2009 | 52 |
| 0.0300 | 0.6706 | 2035 | 63 |
| 0.0400 | 0.5822 | 2074 | 87 |
| 0.0500 | 0.5241 | 2104 | 112 |
| 0.0750 | 0.3522 | 2156 | 176 |
| 0.1000 | 0.2349 | 2183 | 244 |
| +5 only | |||
| 0.0000 | 1.0000 | 44 | 0 |
| 0.0001 | 0.9992 | 72 | 0 |
| 0.0002 | 0.9987 | 80 | 0 |
| 0.0003 | 0.9980 | 87 | 0 |
| 0.0004 | 0.9976 | 91 | 0 |
| 0.0005 | 0.9967 | 95 | 0 |
| 0.0006 | 0.9962 | 98 | 0 |
| 0.0007 | 0.9956 | 101 | 0 |
| 0.0008 | 0.9939 | 104 | 0 |
| 0.0009 | 0.9938 | 106 | 0 |
| 0.0010 | 0.9930 | 108 | 0 |
| 0.0015 | 0.9896 | 115 | 0 |
| 0.0020 | 0.9833 | 121 | 0 |
| 0.0025 | 0.9786 | 125 | 0 |
| 0.0030 | 0.9780 | 128 | 0 |
| 0.0040 | 0.9687 | 132 | 1 |
| 0.0050 | 0.9599 | 136 | 1 |
| 0.0060 | 0.9532 | 140 | 1 |
| 0.0070 | 0.9480 | 143 | 1 |
| 0.0080 | 0.9438 | 146 | 1 |
| 0.0090 | 0.9364 | 149 | 1 |
| 0.0100 | 0.9297 | 151 | 2 |
| 0.0150 | 0.8851 | 160 | 3 |
| 0.0200 | 0.8597 | 167 | 4 |
| 0.0250 | 0.8067 | 172 | 5 |
| 0.0300 | 0.7624 | 176 | 6 |
| 0.0400 | 0.7178 | 182 | 8 |
| 0.0500 | 0.6691 | 188 | 10 |
| 0.0750 | 0.4787 | 195 | 17 |
| 0.1000 | 0.3440 | 200 | 23 |
| peptideprophet | |
|---|---|
| time | 2017-02-20T13:27:55 |
| author | AKeller@ISB |
| est_tot_num_correct | 34535.5 |
| 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_27.pep.xml |
| database_refresh | |
| time | 2017-02-20T13:27:44 |
| interact | |
| time | 2017-02-20T13:27:02 |
| directory | /home/sean/Documents/proteome |
| filename | /home/sean/Documents/proteome/interact-20161205_Sample_27.pep.xml |
| directory | /home/sean/Documents/proteome |
| inputfile | 20161205_Sample_27.pep.xml |
| tpp_models | |
| time | Mon Feb 20 13:30:03 2017 |