+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 | 0.010823 |
pos_bandwidth | 0.010823 |
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 | 9869.6 |
num_iterations | 28 |
prior_probability | 0.314 |
tot_num_spectra | 50986 |
Comet discrim score [fval] negmean: -2.10 | |
pos model | gaussian (mean 2.28, stdev 2.01) |
neg model | gaussian (mean -1.10, stdev 1.00) |
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 0.912, 1<=nmc<=2 0.088, nmc>=3 0.000) |
neg model | (nmc=0 0.519, 1<=nmc<=2 0.480, nmc>=3 0.001) |
Accurate Mass Model | |
neg_bandwidth | 0.010823 |
pos_bandwidth | 0.010823 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.035, 0 0.866, 1 0.093, 2 0.005, 3 0.000) |
neg model | (-3 0.000, -2 0.000, -1 0.281, 0 0.321, 1 0.178, 2 0.123, 3 0.096) |
+3 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 4801.7 |
num_iterations | 28 |
prior_probability | 0.332 |
tot_num_spectra | 23934 |
Comet discrim score [fval] negmean: -1.64 | |
pos model | gaussian (mean 3.54, stdev 2.36) |
neg model | gaussian (mean -0.59, stdev 1.05) |
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 0.706, 1<=nmc<=2 0.294, nmc>=3 0.000) |
neg model | (nmc=0 0.277, 1<=nmc<=2 0.715, nmc>=3 0.008) |
Accurate Mass Model | |
neg_bandwidth | 0.010823 |
pos_bandwidth | 0.010823 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.020, 0 0.764, 1 0.162, 2 0.050, 3 0.003) |
neg model | (-3 0.000, -2 0.000, -1 0.236, 0 0.223, 1 0.199, 2 0.178, 3 0.165) |
+4 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 857.1 |
num_iterations | 28 |
prior_probability | 0.262 |
tot_num_spectra | 5657 |
Comet discrim score [fval] negmean: -2.05 | |
pos model | gaussian (mean 1.47, stdev 1.47) |
neg model | gaussian (mean -1.25, stdev 0.80) |
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 0.455, 1<=nmc<=2 0.545, nmc>=3 0.000) |
neg model | (nmc=0 0.177, 1<=nmc<=2 0.801, nmc>=3 0.022) |
Accurate Mass Model | |
neg_bandwidth | 0.010823 |
pos_bandwidth | 0.010823 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.014, 0 0.806, 1 0.154, 2 0.025, 3 0.000) |
neg model | (-3 0.000, -2 0.000, -1 0.223, 0 0.214, 1 0.200, 2 0.184, 3 0.179) |
+5 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 85.9 |
num_iterations | 30 |
prior_probability | 0.107 |
tot_num_spectra | 1532 |
Comet discrim score [fval] negmean: -2.91 | |
pos model | gaussian (mean 1.10, stdev 1.56) |
neg model | gaussian (mean -1.78, stdev 1.13) |
no. tolerable trypsin term. [ntt] | |
pos model | (ntt=0 0.000, ntt=1 0.000, ntt=2 1.000) |
neg model | (ntt=0 0.001, ntt=1 0.021, ntt=2 0.979) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.232, 1<=nmc<=2 0.767, nmc>=3 0.001) |
neg model | (nmc=0 0.150, 1<=nmc<=2 0.813, nmc>=3 0.037) |
Accurate Mass Model | |
neg_bandwidth | 0.010823 |
pos_bandwidth | 0.010823 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.014, 0 0.926, 1 0.050, 2 0.005, 3 0.004) |
neg model | (-3 0.000, -2 0.000, -1 0.220, 0 0.194, 1 0.205, 2 0.189, 3 0.192) |
+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 | 0.010823 |
pos_bandwidth | 0.010823 |
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 | 0.010823 |
pos_bandwidth | 0.010823 |
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_35A | |
---|---|
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_35A |
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 | 2017-02-20T13:44:30 (id: 1) |
database_refresh | 2017-02-20T13:44:19 (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 | 0.4156 | 0.0000 | 6489 | 0 |
0.9990 | 0.4941 | 0.0001 | 7715 | 1 |
0.9900 | 0.6049 | 0.0008 | 9445 | 8 |
0.9800 | 0.6424 | 0.0016 | 10031 | 16 |
0.9500 | 0.6963 | 0.0042 | 10872 | 45 |
0.9000 | 0.7471 | 0.0093 | 11666 | 109 |
0.8500 | 0.7799 | 0.0147 | 12178 | 182 |
0.8000 | 0.8051 | 0.0207 | 12571 | 265 |
0.7500 | 0.8249 | 0.0268 | 12880 | 355 |
0.7000 | 0.8430 | 0.0339 | 13163 | 462 |
0.6500 | 0.8596 | 0.0419 | 13423 | 587 |
0.6000 | 0.8747 | 0.0506 | 13658 | 728 |
0.5500 | 0.8893 | 0.0607 | 13886 | 897 |
0.5000 | 0.9037 | 0.0723 | 14110 | 1100 |
0.4500 | 0.9181 | 0.0860 | 14335 | 1350 |
0.4000 | 0.9298 | 0.0992 | 14519 | 1598 |
0.3500 | 0.9407 | 0.1135 | 14688 | 1881 |
0.3000 | 0.9491 | 0.1269 | 14819 | 2154 |
0.2500 | 0.9571 | 0.1426 | 14944 | 2485 |
0.2000 | 0.9646 | 0.1610 | 15062 | 2890 |
0.1500 | 0.9727 | 0.1870 | 15188 | 3493 |
0.1000 | 0.9816 | 0.2260 | 15327 | 4477 |
0.0500 | 0.9900 | 0.2857 | 15459 | 6183 |
0.0000 | 1.0000 | 0.8098 | 15614 | 66495 |
+2 only | ||||
0.9999 | 0.3886 | 0.0000 | 3835 | 0 |
0.9990 | 0.4703 | 0.0001 | 4642 | 0 |
0.9900 | 0.5869 | 0.0009 | 5793 | 5 |
0.9800 | 0.6278 | 0.0018 | 6196 | 11 |
0.9500 | 0.6820 | 0.0043 | 6731 | 29 |
0.9000 | 0.7359 | 0.0098 | 7263 | 72 |
0.8500 | 0.7694 | 0.0154 | 7593 | 119 |
0.8000 | 0.7956 | 0.0216 | 7853 | 173 |
0.7500 | 0.8170 | 0.0283 | 8063 | 235 |
0.7000 | 0.8368 | 0.0361 | 8259 | 309 |
0.6500 | 0.8548 | 0.0447 | 8436 | 395 |
0.6000 | 0.8714 | 0.0542 | 8600 | 493 |
0.5500 | 0.8865 | 0.0645 | 8750 | 603 |
0.5000 | 0.9007 | 0.0759 | 8889 | 730 |
0.4500 | 0.9163 | 0.0905 | 9043 | 900 |
0.4000 | 0.9302 | 0.1058 | 9181 | 1086 |
0.3500 | 0.9420 | 0.1209 | 9297 | 1279 |
0.3000 | 0.9506 | 0.1342 | 9382 | 1454 |
0.2500 | 0.9587 | 0.1498 | 9462 | 1667 |
0.2000 | 0.9656 | 0.1662 | 9530 | 1900 |
0.1500 | 0.9729 | 0.1894 | 9602 | 2243 |
0.1000 | 0.9814 | 0.2266 | 9686 | 2838 |
0.0500 | 0.9902 | 0.2886 | 9773 | 3965 |
0.0000 | 1.0000 | 0.8064 | 9870 | 41116 |
+3 only | ||||
0.9999 | 0.4863 | 0.0000 | 2335 | 0 |
0.9990 | 0.5568 | 0.0001 | 2674 | 0 |
0.9900 | 0.6558 | 0.0007 | 3149 | 2 |
0.9800 | 0.6853 | 0.0013 | 3291 | 4 |
0.9500 | 0.7368 | 0.0037 | 3538 | 13 |
0.9000 | 0.7798 | 0.0079 | 3744 | 30 |
0.8500 | 0.8115 | 0.0131 | 3896 | 52 |
0.8000 | 0.8334 | 0.0182 | 4002 | 74 |
0.7500 | 0.8494 | 0.0230 | 4079 | 96 |
0.7000 | 0.8635 | 0.0285 | 4146 | 122 |
0.6500 | 0.8767 | 0.0349 | 4210 | 152 |
0.6000 | 0.8891 | 0.0422 | 4269 | 188 |
0.5500 | 0.9019 | 0.0512 | 4330 | 234 |
0.5000 | 0.9163 | 0.0630 | 4400 | 296 |
0.4500 | 0.9289 | 0.0752 | 4460 | 363 |
0.4000 | 0.9352 | 0.0826 | 4491 | 404 |
0.3500 | 0.9433 | 0.0941 | 4530 | 470 |
0.3000 | 0.9500 | 0.1055 | 4562 | 538 |
0.2500 | 0.9573 | 0.1207 | 4597 | 631 |
0.2000 | 0.9654 | 0.1416 | 4636 | 764 |
0.1500 | 0.9741 | 0.1711 | 4677 | 966 |
0.1000 | 0.9836 | 0.2140 | 4723 | 1286 |
0.0500 | 0.9906 | 0.2665 | 4757 | 1728 |
0.0000 | 1.0000 | 0.7994 | 4802 | 19132 |
+4 only | ||||
0.9999 | 0.3547 | 0.0000 | 304 | 0 |
0.9990 | 0.4480 | 0.0001 | 384 | 0 |
0.9900 | 0.5584 | 0.0009 | 479 | 0 |
0.9800 | 0.5986 | 0.0018 | 513 | 1 |
0.9500 | 0.6584 | 0.0048 | 564 | 3 |
0.9000 | 0.7178 | 0.0110 | 615 | 7 |
0.8500 | 0.7494 | 0.0164 | 642 | 11 |
0.8000 | 0.7763 | 0.0230 | 665 | 16 |
0.7500 | 0.7990 | 0.0301 | 685 | 21 |
0.7000 | 0.8202 | 0.0383 | 703 | 28 |
0.6500 | 0.8391 | 0.0474 | 719 | 36 |
0.6000 | 0.8501 | 0.0538 | 729 | 41 |
0.5500 | 0.8688 | 0.0669 | 745 | 53 |
0.5000 | 0.8841 | 0.0793 | 758 | 65 |
0.4500 | 0.8942 | 0.0887 | 766 | 75 |
0.4000 | 0.9090 | 0.1055 | 779 | 92 |
0.3500 | 0.9221 | 0.1228 | 790 | 111 |
0.3000 | 0.9361 | 0.1447 | 802 | 136 |
0.2500 | 0.9450 | 0.1615 | 810 | 156 |
0.2000 | 0.9550 | 0.1848 | 818 | 186 |
0.1500 | 0.9669 | 0.2196 | 829 | 233 |
0.1000 | 0.9769 | 0.2597 | 837 | 294 |
0.0500 | 0.9872 | 0.3248 | 846 | 407 |
0.0000 | 1.0000 | 0.8485 | 857 | 4800 |
+5 only | ||||
0.9999 | 0.1746 | 0.0000 | 15 | 0 |
0.9990 | 0.1862 | 0.0001 | 16 | 0 |
0.9900 | 0.2905 | 0.0017 | 25 | 0 |
0.9800 | 0.3593 | 0.0042 | 31 | 0 |
0.9500 | 0.4497 | 0.0094 | 39 | 0 |
0.9000 | 0.5034 | 0.0172 | 43 | 1 |
0.8500 | 0.5343 | 0.0234 | 46 | 1 |
0.8000 | 0.5918 | 0.0407 | 51 | 2 |
0.7500 | 0.6184 | 0.0514 | 53 | 3 |
0.7000 | 0.6358 | 0.0584 | 55 | 3 |
0.6500 | 0.6667 | 0.0762 | 57 | 5 |
0.6000 | 0.6954 | 0.0948 | 60 | 6 |
0.5500 | 0.7090 | 0.1044 | 61 | 7 |
0.5000 | 0.7328 | 0.1257 | 63 | 9 |
0.4500 | 0.7656 | 0.1568 | 66 | 12 |
0.4000 | 0.7949 | 0.1870 | 68 | 16 |
0.3500 | 0.8291 | 0.2258 | 71 | 21 |
0.3000 | 0.8562 | 0.2571 | 74 | 25 |
0.2500 | 0.8787 | 0.2879 | 75 | 31 |
0.2000 | 0.9095 | 0.3378 | 78 | 40 |
0.1500 | 0.9368 | 0.3857 | 80 | 51 |
0.1000 | 0.9500 | 0.4170 | 82 | 58 |
0.0500 | 0.9725 | 0.4967 | 84 | 82 |
0.0000 | 1.0000 | 0.9439 | 86 | 1446 |
Error Table | |||
Error_Rate | min_prob | num_correct | num_incorrect |
---|---|---|---|
0.0000 | 1.0000 | 2801 | 0 |
0.0001 | 0.9988 | 7814 | 1 |
0.0002 | 0.9975 | 8311 | 2 |
0.0003 | 0.9964 | 8616 | 3 |
0.0004 | 0.9952 | 8840 | 4 |
0.0005 | 0.9941 | 9022 | 5 |
0.0006 | 0.9928 | 9172 | 6 |
0.0007 | 0.9915 | 9301 | 7 |
0.0008 | 0.9903 | 9412 | 8 |
0.0009 | 0.9892 | 9511 | 9 |
0.0010 | 0.9880 | 9602 | 10 |
0.0015 | 0.9815 | 9956 | 15 |
0.0020 | 0.9755 | 10207 | 20 |
0.0025 | 0.9693 | 10406 | 26 |
0.0030 | 0.9633 | 10570 | 32 |
0.0040 | 0.9519 | 10835 | 44 |
0.0050 | 0.9402 | 11046 | 56 |
0.0060 | 0.9301 | 11223 | 68 |
0.0070 | 0.9194 | 11377 | 80 |
0.0080 | 0.9108 | 11513 | 93 |
0.0090 | 0.9023 | 11637 | 106 |
0.0100 | 0.8925 | 11751 | 119 |
0.0150 | 0.8467 | 12201 | 186 |
0.0200 | 0.8047 | 12533 | 256 |
0.0250 | 0.7638 | 12797 | 329 |
0.0300 | 0.7265 | 13015 | 403 |
0.0400 | 0.6619 | 13366 | 557 |
0.0500 | 0.6032 | 13643 | 718 |
0.0750 | 0.4885 | 14157 | 1149 |
0.1000 | 0.3959 | 14530 | 1615 |
+2 only | |||
0.0000 | 1.0000 | 1762 | 0 |
0.0001 | 0.9989 | 4664 | 0 |
0.0002 | 0.9977 | 5000 | 1 |
0.0003 | 0.9966 | 5201 | 2 |
0.0004 | 0.9954 | 5347 | 2 |
0.0005 | 0.9945 | 5464 | 3 |
0.0006 | 0.9933 | 5565 | 3 |
0.0007 | 0.9923 | 5649 | 4 |
0.0008 | 0.9911 | 5723 | 5 |
0.0009 | 0.9900 | 5790 | 5 |
0.0010 | 0.9890 | 5850 | 6 |
0.0015 | 0.9832 | 6091 | 9 |
0.0020 | 0.9774 | 6260 | 13 |
0.0025 | 0.9718 | 6396 | 16 |
0.0030 | 0.9658 | 6506 | 20 |
0.0040 | 0.9545 | 6681 | 27 |
0.0050 | 0.9428 | 6819 | 34 |
0.0060 | 0.9339 | 6934 | 42 |
0.0070 | 0.9239 | 7035 | 50 |
0.0080 | 0.9139 | 7125 | 58 |
0.0090 | 0.9063 | 7206 | 66 |
0.0100 | 0.8977 | 7280 | 74 |
0.0150 | 0.8541 | 7575 | 116 |
0.0200 | 0.8108 | 7794 | 159 |
0.0250 | 0.7728 | 7967 | 205 |
0.0300 | 0.7382 | 8112 | 251 |
0.0400 | 0.6766 | 8345 | 348 |
0.0500 | 0.6236 | 8533 | 449 |
0.0750 | 0.5048 | 8880 | 721 |
0.1000 | 0.4200 | 9132 | 1015 |
+3 only | |||
0.0000 | 1.0000 | 873 | 0 |
0.0001 | 0.9984 | 2746 | 0 |
0.0002 | 0.9971 | 2879 | 1 |
0.0003 | 0.9956 | 2967 | 1 |
0.0004 | 0.9941 | 3031 | 1 |
0.0005 | 0.9927 | 3079 | 2 |
0.0006 | 0.9910 | 3120 | 2 |
0.0007 | 0.9896 | 3155 | 2 |
0.0008 | 0.9882 | 3185 | 3 |
0.0009 | 0.9865 | 3213 | 3 |
0.0010 | 0.9848 | 3237 | 3 |
0.0015 | 0.9764 | 3327 | 5 |
0.0020 | 0.9694 | 3392 | 7 |
0.0025 | 0.9624 | 3443 | 9 |
0.0030 | 0.9570 | 3488 | 11 |
0.0040 | 0.9440 | 3563 | 14 |
0.0050 | 0.9308 | 3622 | 18 |
0.0060 | 0.9179 | 3671 | 22 |
0.0070 | 0.9076 | 3713 | 26 |
0.0080 | 0.8991 | 3751 | 30 |
0.0090 | 0.8869 | 3785 | 35 |
0.0100 | 0.8752 | 3816 | 39 |
0.0150 | 0.8307 | 3942 | 60 |
0.0200 | 0.7803 | 4034 | 83 |
0.0250 | 0.7310 | 4105 | 106 |
0.0300 | 0.6877 | 4163 | 129 |
0.0400 | 0.6154 | 4253 | 178 |
0.0500 | 0.5587 | 4324 | 228 |
0.0750 | 0.4502 | 4460 | 362 |
0.1000 | 0.3198 | 4548 | 506 |
+4 only | |||
0.0000 | 1.0000 | 155 | 0 |
0.0001 | 0.9991 | 376 | 0 |
0.0002 | 0.9981 | 409 | 0 |
0.0003 | 0.9968 | 427 | 0 |
0.0004 | 0.9963 | 440 | 0 |
0.0005 | 0.9954 | 452 | 0 |
0.0006 | 0.9941 | 462 | 0 |
0.0007 | 0.9926 | 470 | 0 |
0.0008 | 0.9914 | 477 | 0 |
0.0009 | 0.9898 | 482 | 0 |
0.0010 | 0.9884 | 486 | 1 |
0.0015 | 0.9827 | 505 | 1 |
0.0020 | 0.9775 | 519 | 1 |
0.0025 | 0.9724 | 531 | 1 |
0.0030 | 0.9685 | 540 | 2 |
0.0040 | 0.9594 | 556 | 2 |
0.0050 | 0.9456 | 568 | 3 |
0.0060 | 0.9368 | 578 | 4 |
0.0070 | 0.9276 | 588 | 4 |
0.0080 | 0.9210 | 595 | 5 |
0.0090 | 0.9149 | 603 | 6 |
0.0100 | 0.9096 | 610 | 6 |
0.0150 | 0.8609 | 637 | 10 |
0.0200 | 0.8185 | 656 | 14 |
0.0250 | 0.7896 | 672 | 18 |
0.0300 | 0.7537 | 686 | 21 |
0.0400 | 0.6915 | 707 | 30 |
0.0500 | 0.6220 | 724 | 39 |
0.0750 | 0.5213 | 754 | 62 |
0.1000 | 0.4160 | 776 | 87 |
+5 only | |||
0.0000 | 0.9991 | 17 | 0 |
0.0001 | 0.9984 | 18 | 0 |
0.0002 | 0.9975 | 19 | 0 |
0.0003 | 0.9966 | 20 | 0 |
0.0004 | 0.9966 | 20 | 0 |
0.0005 | 0.9962 | 21 | 0 |
0.0006 | 0.9962 | 21 | 0 |
0.0007 | 0.9958 | 22 | 0 |
0.0008 | 0.9949 | 23 | 0 |
0.0009 | 0.9949 | 23 | 0 |
0.0010 | 0.9946 | 24 | 0 |
0.0015 | 0.9904 | 26 | 0 |
0.0020 | 0.9880 | 27 | 0 |
0.0025 | 0.9878 | 28 | 0 |
0.0030 | 0.9840 | 30 | 0 |
0.0040 | 0.9831 | 32 | 0 |
0.0050 | 0.9785 | 34 | 0 |
0.0060 | 0.9740 | 36 | 0 |
0.0070 | 0.9697 | 37 | 0 |
0.0080 | 0.9636 | 39 | 0 |
0.0090 | 0.9556 | 40 | 0 |
0.0100 | 0.9363 | 40 | 1 |
0.0150 | 0.9170 | 43 | 1 |
0.0200 | 0.8898 | 46 | 1 |
0.0250 | 0.8443 | 48 | 1 |
0.0300 | 0.8304 | 49 | 2 |
0.0400 | 0.8024 | 52 | 2 |
0.0500 | 0.7587 | 54 | 3 |
0.0750 | 0.6508 | 58 | 5 |
0.1000 | 0.5652 | 61 | 8 |
peptideprophet | |
---|---|
time | 2017-02-20T13:44:30 |
author | AKeller@ISB |
est_tot_num_correct | 15614.3 |
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_35A.pep.xml |
database_refresh | |
time | 2017-02-20T13:44:19 |
interact | |
time | 2017-02-20T13:43:41 |
directory | /home/sean/Documents/proteome |
filename | /home/sean/Documents/proteome/interact-20161205_Sample_35A.pep.xml |
directory | /home/sean/Documents/proteome |
inputfile | 20161205_Sample_35A.pep.xml |
tpp_models | |
time | Mon Feb 20 13:45:51 2017 |