| +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 | 0.010851 |
| pos_bandwidth | 0.010851 |
| 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 | 23581.6 |
| num_iterations | 27 |
| prior_probability | 0.729 |
| tot_num_spectra | 40726 |
| Comet discrim score [fval] negmean: -2.01 | |
| pos model | gaussian (mean 3.03, stdev 2.07) |
| neg model | gaussian (mean -0.89, stdev 1.11) |
| 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 0.948, 1<=nmc<=2 0.052, nmc>=3 0.000) |
| neg model | (nmc=0 0.503, 1<=nmc<=2 0.495, nmc>=3 0.002) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010851 |
| pos_bandwidth | 0.010851 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.027, 0 0.872, 1 0.092, 2 0.008, 3 0.000) |
| neg model | (-3 0.000, -2 0.000, -1 0.300, 0 0.307, 1 0.170, 2 0.122, 3 0.101) |
| +3 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 16404.5 |
| num_iterations | 27 |
| prior_probability | 0.620 |
| tot_num_spectra | 35650 |
| Comet discrim score [fval] negmean: -1.55 | |
| pos model | gaussian (mean 4.27, stdev 2.48) |
| neg model | gaussian (mean -0.45, 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 0.823, 1<=nmc<=2 0.177, nmc>=3 0.000) |
| neg model | (nmc=0 0.305, 1<=nmc<=2 0.687, nmc>=3 0.008) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010851 |
| pos_bandwidth | 0.010851 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.020, 0 0.782, 1 0.149, 2 0.044, 3 0.005) |
| neg model | (-3 0.000, -2 0.000, -1 0.234, 0 0.230, 1 0.202, 2 0.175, 3 0.160) |
| +4 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 3169.1 |
| num_iterations | 27 |
| prior_probability | 0.538 |
| tot_num_spectra | 8460 |
| Comet discrim score [fval] negmean: -2.04 | |
| pos model | gaussian (mean 2.05, stdev 1.53) |
| neg model | gaussian (mean -1.23, stdev 0.82) |
| 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 0.674, 1<=nmc<=2 0.326, nmc>=3 0.000) |
| neg model | (nmc=0 0.193, 1<=nmc<=2 0.788, nmc>=3 0.019) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010851 |
| pos_bandwidth | 0.010851 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.016, 0 0.803, 1 0.143, 2 0.033, 3 0.005) |
| neg model | (-3 0.000, -2 0.000, -1 0.228, 0 0.212, 1 0.201, 2 0.182, 3 0.177) |
| +5 Models | |
| comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
| est_tot_correct | 401.2 |
| num_iterations | 27 |
| prior_probability | 0.343 |
| tot_num_spectra | 1905 |
| Comet discrim score [fval] negmean: -2.89 | |
| pos model | gaussian (mean 2.19, stdev 1.48) |
| neg model | gaussian (mean -1.74, 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 0.029, ntt=2 0.971) |
| no. missed enz. cleavages [nmc] | |
| pos model | (nmc=0 0.547, 1<=nmc<=2 0.453, nmc>=3 0.000) |
| neg model | (nmc=0 0.146, 1<=nmc<=2 0.828, nmc>=3 0.026) |
| Accurate Mass Model | |
| neg_bandwidth | 0.010851 |
| pos_bandwidth | 0.010851 |
| isotopic peak mass difference [IsoMassDiff] | |
| pos model | (-3 0.000, -2 0.000, -1 0.010, 0 0.891, 1 0.094, 2 0.004, 3 0.001) |
| neg model | (-3 0.000, -2 0.000, -1 0.202, 0 0.197, 1 0.215, 2 0.205, 3 0.181) |
| +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 | 0.010851 |
| pos_bandwidth | 0.010851 |
| 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 | 0.010851 |
| pos_bandwidth | 0.010851 |
| 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_1A | |
|---|---|
| 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_1A |
| 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 | 2017-02-20T13:05:01 (id: 1) |
| database_refresh | 2017-02-20T13:04:51 (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 | 0.5530 | 0.0000 | 24087 | 0 |
| 0.9990 | 0.6442 | 0.0001 | 28058 | 2 |
| 0.9900 | 0.7553 | 0.0007 | 32898 | 22 |
| 0.9800 | 0.7924 | 0.0013 | 34513 | 46 |
| 0.9500 | 0.8424 | 0.0033 | 36693 | 121 |
| 0.9000 | 0.8844 | 0.0068 | 38523 | 264 |
| 0.8500 | 0.9093 | 0.0104 | 39607 | 418 |
| 0.8000 | 0.9275 | 0.0143 | 40400 | 585 |
| 0.7500 | 0.9420 | 0.0183 | 41031 | 767 |
| 0.7000 | 0.9525 | 0.0221 | 41487 | 939 |
| 0.6500 | 0.9588 | 0.0250 | 41763 | 1069 |
| 0.6000 | 0.9630 | 0.0273 | 41945 | 1178 |
| 0.5500 | 0.9672 | 0.0302 | 42128 | 1313 |
| 0.5000 | 0.9713 | 0.0337 | 42307 | 1475 |
| 0.4500 | 0.9750 | 0.0374 | 42466 | 1652 |
| 0.4000 | 0.9784 | 0.0416 | 42614 | 1852 |
| 0.3500 | 0.9813 | 0.0460 | 42742 | 2063 |
| 0.3000 | 0.9840 | 0.0511 | 42859 | 2307 |
| 0.2500 | 0.9870 | 0.0580 | 42988 | 2648 |
| 0.2000 | 0.9896 | 0.0661 | 43104 | 3051 |
| 0.1500 | 0.9925 | 0.0777 | 43229 | 3642 |
| 0.1000 | 0.9951 | 0.0930 | 43342 | 4443 |
| 0.0500 | 0.9976 | 0.1185 | 43451 | 5841 |
| 0.0000 | 1.0000 | 0.4979 | 43557 | 43184 |
| +2 only | ||||
| 0.9999 | 0.5223 | 0.0000 | 12317 | 0 |
| 0.9990 | 0.6259 | 0.0001 | 14761 | 1 |
| 0.9900 | 0.7520 | 0.0008 | 17733 | 14 |
| 0.9800 | 0.7947 | 0.0015 | 18741 | 28 |
| 0.9500 | 0.8510 | 0.0037 | 20068 | 74 |
| 0.9000 | 0.8965 | 0.0074 | 21140 | 157 |
| 0.8500 | 0.9233 | 0.0112 | 21773 | 247 |
| 0.8000 | 0.9418 | 0.0150 | 22210 | 339 |
| 0.7500 | 0.9552 | 0.0187 | 22524 | 429 |
| 0.7000 | 0.9633 | 0.0216 | 22716 | 501 |
| 0.6500 | 0.9674 | 0.0234 | 22813 | 547 |
| 0.6000 | 0.9706 | 0.0252 | 22889 | 593 |
| 0.5500 | 0.9738 | 0.0274 | 22964 | 648 |
| 0.5000 | 0.9771 | 0.0302 | 23041 | 718 |
| 0.4500 | 0.9798 | 0.0330 | 23106 | 789 |
| 0.4000 | 0.9828 | 0.0368 | 23176 | 884 |
| 0.3500 | 0.9850 | 0.0401 | 23227 | 970 |
| 0.3000 | 0.9871 | 0.0440 | 23276 | 1071 |
| 0.2500 | 0.9894 | 0.0497 | 23333 | 1220 |
| 0.2000 | 0.9915 | 0.0561 | 23382 | 1390 |
| 0.1500 | 0.9939 | 0.0660 | 23438 | 1656 |
| 0.1000 | 0.9962 | 0.0800 | 23492 | 2042 |
| 0.0500 | 0.9982 | 0.1011 | 23540 | 2647 |
| 0.0000 | 1.0000 | 0.4210 | 23582 | 17144 |
| +3 only | ||||
| 0.9999 | 0.6011 | 0.0000 | 9861 | 0 |
| 0.9990 | 0.6723 | 0.0001 | 11029 | 1 |
| 0.9900 | 0.7609 | 0.0005 | 12482 | 6 |
| 0.9800 | 0.7909 | 0.0011 | 12974 | 14 |
| 0.9500 | 0.8335 | 0.0028 | 13673 | 38 |
| 0.9000 | 0.8716 | 0.0061 | 14298 | 88 |
| 0.8500 | 0.8947 | 0.0095 | 14677 | 141 |
| 0.8000 | 0.9128 | 0.0135 | 14974 | 205 |
| 0.7500 | 0.9295 | 0.0183 | 15248 | 284 |
| 0.7000 | 0.9428 | 0.0231 | 15467 | 366 |
| 0.6500 | 0.9519 | 0.0271 | 15615 | 436 |
| 0.6000 | 0.9568 | 0.0299 | 15697 | 484 |
| 0.5500 | 0.9616 | 0.0332 | 15775 | 542 |
| 0.5000 | 0.9664 | 0.0372 | 15854 | 613 |
| 0.4500 | 0.9709 | 0.0417 | 15926 | 694 |
| 0.4000 | 0.9746 | 0.0463 | 15988 | 776 |
| 0.3500 | 0.9783 | 0.0519 | 16049 | 878 |
| 0.3000 | 0.9815 | 0.0577 | 16101 | 985 |
| 0.2500 | 0.9847 | 0.0650 | 16153 | 1124 |
| 0.2000 | 0.9879 | 0.0746 | 16206 | 1306 |
| 0.1500 | 0.9913 | 0.0880 | 16262 | 1568 |
| 0.1000 | 0.9939 | 0.1033 | 16305 | 1878 |
| 0.0500 | 0.9970 | 0.1334 | 16355 | 2518 |
| 0.0000 | 1.0000 | 0.5398 | 16405 | 19245 |
| +4 only | ||||
| 0.9999 | 0.5522 | 0.0000 | 1750 | 0 |
| 0.9990 | 0.6487 | 0.0001 | 2056 | 0 |
| 0.9900 | 0.7587 | 0.0007 | 2404 | 2 |
| 0.9800 | 0.7889 | 0.0012 | 2500 | 3 |
| 0.9500 | 0.8301 | 0.0028 | 2631 | 7 |
| 0.9000 | 0.8677 | 0.0062 | 2750 | 17 |
| 0.8500 | 0.8895 | 0.0095 | 2819 | 27 |
| 0.8000 | 0.9049 | 0.0128 | 2868 | 37 |
| 0.7500 | 0.9169 | 0.0163 | 2906 | 48 |
| 0.7000 | 0.9288 | 0.0208 | 2943 | 63 |
| 0.6500 | 0.9365 | 0.0244 | 2968 | 74 |
| 0.6000 | 0.9429 | 0.0282 | 2988 | 87 |
| 0.5500 | 0.9516 | 0.0343 | 3016 | 107 |
| 0.5000 | 0.9581 | 0.0397 | 3036 | 126 |
| 0.4500 | 0.9645 | 0.0463 | 3057 | 148 |
| 0.4000 | 0.9685 | 0.0510 | 3069 | 165 |
| 0.3500 | 0.9723 | 0.0568 | 3082 | 185 |
| 0.3000 | 0.9767 | 0.0649 | 3095 | 215 |
| 0.2500 | 0.9817 | 0.0762 | 3111 | 257 |
| 0.2000 | 0.9858 | 0.0879 | 3124 | 301 |
| 0.1500 | 0.9893 | 0.1014 | 3135 | 354 |
| 0.1000 | 0.9933 | 0.1232 | 3148 | 442 |
| 0.0500 | 0.9964 | 0.1537 | 3158 | 573 |
| 0.0000 | 1.0000 | 0.6254 | 3169 | 5291 |
| +5 only | ||||
| 0.9999 | 0.3963 | 0.0000 | 159 | 0 |
| 0.9990 | 0.5283 | 0.0001 | 212 | 0 |
| 0.9900 | 0.6947 | 0.0009 | 279 | 0 |
| 0.9800 | 0.7438 | 0.0018 | 298 | 1 |
| 0.9500 | 0.8016 | 0.0042 | 322 | 1 |
| 0.9000 | 0.8340 | 0.0071 | 335 | 2 |
| 0.8500 | 0.8427 | 0.0084 | 338 | 3 |
| 0.8000 | 0.8653 | 0.0136 | 347 | 5 |
| 0.7500 | 0.8790 | 0.0176 | 353 | 6 |
| 0.7000 | 0.8988 | 0.0253 | 361 | 9 |
| 0.6500 | 0.9140 | 0.0324 | 367 | 12 |
| 0.6000 | 0.9234 | 0.0376 | 371 | 14 |
| 0.5500 | 0.9292 | 0.0416 | 373 | 16 |
| 0.5000 | 0.9358 | 0.0471 | 375 | 19 |
| 0.4500 | 0.9405 | 0.0518 | 377 | 21 |
| 0.4000 | 0.9511 | 0.0647 | 382 | 26 |
| 0.3500 | 0.9567 | 0.0728 | 384 | 30 |
| 0.3000 | 0.9642 | 0.0854 | 387 | 36 |
| 0.2500 | 0.9746 | 0.1072 | 391 | 47 |
| 0.2000 | 0.9790 | 0.1193 | 393 | 53 |
| 0.1500 | 0.9841 | 0.1379 | 395 | 63 |
| 0.1000 | 0.9902 | 0.1689 | 397 | 81 |
| 0.0500 | 0.9945 | 0.2035 | 399 | 102 |
| 0.0000 | 1.0000 | 0.7894 | 401 | 1504 |
| Error Table | |||
| Error_Rate | min_prob | num_correct | num_incorrect |
|---|---|---|---|
| 0.0000 | 1.0000 | 7682 | 0 |
| 0.0001 | 0.9986 | 28651 | 3 |
| 0.0002 | 0.9971 | 30193 | 6 |
| 0.0003 | 0.9956 | 31099 | 9 |
| 0.0004 | 0.9940 | 31746 | 13 |
| 0.0005 | 0.9924 | 32248 | 16 |
| 0.0006 | 0.9909 | 32664 | 20 |
| 0.0007 | 0.9894 | 33019 | 23 |
| 0.0008 | 0.9878 | 33326 | 27 |
| 0.0009 | 0.9863 | 33600 | 30 |
| 0.0010 | 0.9848 | 33846 | 34 |
| 0.0015 | 0.9771 | 34813 | 52 |
| 0.0020 | 0.9693 | 35499 | 71 |
| 0.0025 | 0.9614 | 36037 | 90 |
| 0.0030 | 0.9541 | 36479 | 110 |
| 0.0040 | 0.9390 | 37183 | 149 |
| 0.0050 | 0.9254 | 37740 | 190 |
| 0.0060 | 0.9112 | 38203 | 231 |
| 0.0070 | 0.8968 | 38595 | 272 |
| 0.0080 | 0.8832 | 38933 | 314 |
| 0.0090 | 0.8686 | 39232 | 357 |
| 0.0100 | 0.8555 | 39500 | 399 |
| 0.0150 | 0.7920 | 40526 | 617 |
| 0.0200 | 0.7287 | 41245 | 842 |
| 0.0250 | 0.6491 | 41768 | 1071 |
| 0.0300 | 0.5537 | 42115 | 1303 |
| 0.0400 | 0.4196 | 42561 | 1774 |
| 0.0500 | 0.3104 | 42837 | 2255 |
| 0.0750 | 0.1612 | 43204 | 3504 |
| 0.1000 | 0.0834 | 43380 | 4822 |
| +2 only | |||
| 0.0000 | 1.0000 | 4166 | 0 |
| 0.0001 | 0.9988 | 14919 | 1 |
| 0.0002 | 0.9975 | 15861 | 3 |
| 0.0003 | 0.9962 | 16420 | 5 |
| 0.0004 | 0.9948 | 16820 | 7 |
| 0.0005 | 0.9933 | 17129 | 9 |
| 0.0006 | 0.9921 | 17383 | 10 |
| 0.0007 | 0.9908 | 17602 | 12 |
| 0.0008 | 0.9895 | 17796 | 14 |
| 0.0009 | 0.9882 | 17967 | 16 |
| 0.0010 | 0.9868 | 18121 | 18 |
| 0.0015 | 0.9802 | 18726 | 28 |
| 0.0020 | 0.9730 | 19157 | 38 |
| 0.0025 | 0.9659 | 19492 | 49 |
| 0.0030 | 0.9593 | 19766 | 60 |
| 0.0040 | 0.9451 | 20203 | 81 |
| 0.0050 | 0.9327 | 20543 | 103 |
| 0.0060 | 0.9192 | 20825 | 126 |
| 0.0070 | 0.9049 | 21061 | 149 |
| 0.0080 | 0.8906 | 21264 | 172 |
| 0.0090 | 0.8779 | 21443 | 195 |
| 0.0100 | 0.8646 | 21603 | 218 |
| 0.0150 | 0.8001 | 22209 | 339 |
| 0.0200 | 0.7300 | 22619 | 462 |
| 0.0250 | 0.6076 | 22882 | 587 |
| 0.0300 | 0.5038 | 23037 | 713 |
| 0.0400 | 0.3514 | 23227 | 969 |
| 0.0500 | 0.2470 | 23335 | 1230 |
| 0.0750 | 0.1179 | 23475 | 1905 |
| 0.1000 | 0.0518 | 23538 | 2617 |
| +3 only | |||
| 0.0000 | 1.0000 | 2893 | 0 |
| 0.0001 | 0.9982 | 11393 | 1 |
| 0.0002 | 0.9962 | 11851 | 2 |
| 0.0003 | 0.9944 | 12120 | 4 |
| 0.0004 | 0.9924 | 12314 | 5 |
| 0.0005 | 0.9903 | 12464 | 6 |
| 0.0006 | 0.9881 | 12584 | 8 |
| 0.0007 | 0.9863 | 12687 | 9 |
| 0.0008 | 0.9846 | 12778 | 10 |
| 0.0009 | 0.9829 | 12859 | 12 |
| 0.0010 | 0.9811 | 12933 | 13 |
| 0.0015 | 0.9714 | 13222 | 20 |
| 0.0020 | 0.9622 | 13430 | 27 |
| 0.0025 | 0.9541 | 13594 | 34 |
| 0.0030 | 0.9461 | 13733 | 41 |
| 0.0040 | 0.9300 | 13956 | 56 |
| 0.0050 | 0.9159 | 14136 | 71 |
| 0.0060 | 0.9010 | 14288 | 86 |
| 0.0070 | 0.8862 | 14416 | 102 |
| 0.0080 | 0.8717 | 14530 | 117 |
| 0.0090 | 0.8571 | 14629 | 133 |
| 0.0100 | 0.8438 | 14719 | 149 |
| 0.0150 | 0.7854 | 15071 | 230 |
| 0.0200 | 0.7310 | 15333 | 313 |
| 0.0250 | 0.6855 | 15540 | 399 |
| 0.0300 | 0.5993 | 15699 | 486 |
| 0.0400 | 0.4689 | 15901 | 663 |
| 0.0500 | 0.3668 | 16031 | 844 |
| 0.0750 | 0.1984 | 16208 | 1315 |
| 0.1000 | 0.1092 | 16297 | 1813 |
| +4 only | |||
| 0.0000 | 1.0000 | 553 | 0 |
| 0.0001 | 0.9987 | 2093 | 0 |
| 0.0002 | 0.9972 | 2211 | 0 |
| 0.0003 | 0.9956 | 2276 | 1 |
| 0.0004 | 0.9939 | 2324 | 1 |
| 0.0005 | 0.9923 | 2361 | 1 |
| 0.0006 | 0.9907 | 2391 | 1 |
| 0.0007 | 0.9889 | 2416 | 2 |
| 0.0008 | 0.9878 | 2438 | 2 |
| 0.0009 | 0.9850 | 2458 | 2 |
| 0.0010 | 0.9836 | 2474 | 2 |
| 0.0015 | 0.9740 | 2537 | 4 |
| 0.0020 | 0.9660 | 2582 | 5 |
| 0.0025 | 0.9559 | 2615 | 7 |
| 0.0030 | 0.9434 | 2643 | 8 |
| 0.0040 | 0.9281 | 2684 | 11 |
| 0.0050 | 0.9148 | 2718 | 14 |
| 0.0060 | 0.9017 | 2746 | 17 |
| 0.0070 | 0.8866 | 2772 | 20 |
| 0.0080 | 0.8704 | 2793 | 23 |
| 0.0090 | 0.8536 | 2812 | 26 |
| 0.0100 | 0.8399 | 2829 | 29 |
| 0.0150 | 0.7676 | 2894 | 44 |
| 0.0200 | 0.7116 | 2939 | 60 |
| 0.0250 | 0.6401 | 2972 | 77 |
| 0.0300 | 0.5838 | 2998 | 93 |
| 0.0400 | 0.4978 | 3038 | 127 |
| 0.0500 | 0.4144 | 3068 | 162 |
| 0.0750 | 0.2537 | 3110 | 253 |
| 0.1000 | 0.1550 | 3134 | 350 |
| +5 only | |||
| 0.0000 | 1.0000 | 76 | 0 |
| 0.0001 | 0.9992 | 204 | 0 |
| 0.0002 | 0.9986 | 226 | 0 |
| 0.0003 | 0.9979 | 242 | 0 |
| 0.0004 | 0.9967 | 253 | 0 |
| 0.0005 | 0.9956 | 261 | 0 |
| 0.0006 | 0.9947 | 267 | 0 |
| 0.0007 | 0.9938 | 272 | 0 |
| 0.0008 | 0.9919 | 276 | 0 |
| 0.0009 | 0.9906 | 280 | 0 |
| 0.0010 | 0.9888 | 283 | 0 |
| 0.0015 | 0.9843 | 295 | 0 |
| 0.0020 | 0.9777 | 302 | 1 |
| 0.0025 | 0.9691 | 309 | 1 |
| 0.0030 | 0.9645 | 314 | 1 |
| 0.0040 | 0.9532 | 322 | 1 |
| 0.0050 | 0.9264 | 328 | 2 |
| 0.0060 | 0.9205 | 332 | 2 |
| 0.0070 | 0.9074 | 336 | 2 |
| 0.0080 | 0.8560 | 339 | 3 |
| 0.0090 | 0.8427 | 341 | 3 |
| 0.0100 | 0.8321 | 342 | 4 |
| 0.0150 | 0.7905 | 350 | 6 |
| 0.0200 | 0.7351 | 356 | 8 |
| 0.0250 | 0.7040 | 361 | 10 |
| 0.0300 | 0.6559 | 366 | 12 |
| 0.0400 | 0.5764 | 373 | 16 |
| 0.0500 | 0.4754 | 377 | 21 |
| 0.0750 | 0.3485 | 385 | 32 |
| 0.1000 | 0.2716 | 390 | 45 |
| peptideprophet | |
|---|---|
| time | 2017-02-20T13:05:01 |
| author | AKeller@ISB |
| est_tot_num_correct | 43556.5 |
| 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_1A.pep.xml |
| database_refresh | |
| time | 2017-02-20T13:04:51 |
| interact | |
| time | 2017-02-20T13:04:13 |
| directory | /home/sean/Documents/proteome |
| filename | /home/sean/Documents/proteome/interact-20161205_Sample_1A.pep.xml |
| directory | /home/sean/Documents/proteome |
| inputfile | 20161205_Sample_1A.pep.xml |
| tpp_models | |
| time | Mon Feb 20 13:07:34 2017 |