+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 | 0.010799 |
pos_bandwidth | 0.010799 |
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 | 23137.4 |
num_iterations | 26 |
prior_probability | 0.661 |
tot_num_spectra | 46129 |
Comet discrim score [fval] negmean: -2.09 | |
pos model | gaussian (mean 3.01, stdev 2.12) |
neg model | gaussian (mean -0.94, stdev 1.16) |
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 0.889, 1<=nmc<=2 0.111, nmc>=3 0.000) |
neg model | (nmc=0 0.479, 1<=nmc<=2 0.519, nmc>=3 0.002) |
Accurate Mass Model | |
neg_bandwidth | 0.010799 |
pos_bandwidth | 0.010799 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.031, 0 0.848, 1 0.111, 2 0.010, 3 0.000) |
neg model | (-3 0.000, -2 0.000, -1 0.302, 0 0.306, 1 0.168, 2 0.117, 3 0.106) |
+3 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 15628.0 |
num_iterations | 26 |
prior_probability | 0.571 |
tot_num_spectra | 38164 |
Comet discrim score [fval] negmean: -1.60 | |
pos model | gaussian (mean 4.13, stdev 2.50) |
neg model | gaussian (mean -0.51, 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 0.019, ntt=2 0.981) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.716, 1<=nmc<=2 0.284, nmc>=3 0.000) |
neg model | (nmc=0 0.284, 1<=nmc<=2 0.708, nmc>=3 0.008) |
Accurate Mass Model | |
neg_bandwidth | 0.010799 |
pos_bandwidth | 0.010799 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.020, 0 0.777, 1 0.152, 2 0.044, 3 0.008) |
neg model | (-3 0.000, -2 0.000, -1 0.235, 0 0.231, 1 0.201, 2 0.175, 3 0.157) |
+4 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 3561.6 |
num_iterations | 27 |
prior_probability | 0.526 |
tot_num_spectra | 9897 |
Comet discrim score [fval] negmean: -2.05 | |
pos model | gaussian (mean 1.95, stdev 1.57) |
neg model | gaussian (mean -1.22, stdev 0.83) |
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 0.541, 1<=nmc<=2 0.459, nmc>=3 0.000) |
neg model | (nmc=0 0.193, 1<=nmc<=2 0.792, nmc>=3 0.015) |
Accurate Mass Model | |
neg_bandwidth | 0.010799 |
pos_bandwidth | 0.010799 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.013, 0 0.810, 1 0.134, 2 0.036, 3 0.007) |
neg model | (-3 0.000, -2 0.000, -1 0.242, 0 0.214, 1 0.205, 2 0.174, 3 0.165) |
+5 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 483.1 |
num_iterations | 27 |
prior_probability | 0.325 |
tot_num_spectra | 2412 |
Comet discrim score [fval] negmean: -2.94 | |
pos model | gaussian (mean 2.02, stdev 1.49) |
neg model | gaussian (mean -1.74, 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 0.020, ntt=2 0.980) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.443, 1<=nmc<=2 0.557, nmc>=3 0.000) |
neg model | (nmc=0 0.166, 1<=nmc<=2 0.812, nmc>=3 0.021) |
Accurate Mass Model | |
neg_bandwidth | 0.010799 |
pos_bandwidth | 0.010799 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.005, 0 0.881, 1 0.104, 2 0.010, 3 0.001) |
neg model | (-3 0.000, -2 0.000, -1 0.217, 0 0.194, 1 0.196, 2 0.188, 3 0.205) |
+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 | 0.010799 |
pos_bandwidth | 0.010799 |
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 | 0.010799 |
pos_bandwidth | 0.010799 |
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_56A | |
---|---|
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_56A |
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 | 2017-02-20T14:45:36 (id: 1) |
database_refresh | 2017-02-20T14:45:24 (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 | 0.5128 | 0.0000 | 21955 | 0 |
0.9990 | 0.6053 | 0.0001 | 25915 | 2 |
0.9900 | 0.7175 | 0.0007 | 30715 | 22 |
0.9800 | 0.7560 | 0.0014 | 32365 | 46 |
0.9500 | 0.8101 | 0.0036 | 34682 | 125 |
0.9000 | 0.8544 | 0.0074 | 36578 | 274 |
0.8500 | 0.8831 | 0.0117 | 37806 | 447 |
0.8000 | 0.9038 | 0.0161 | 38690 | 635 |
0.7500 | 0.9198 | 0.0207 | 39376 | 833 |
0.7000 | 0.9329 | 0.0255 | 39936 | 1045 |
0.6500 | 0.9450 | 0.0310 | 40454 | 1294 |
0.6000 | 0.9522 | 0.0350 | 40762 | 1477 |
0.5500 | 0.9576 | 0.0387 | 40993 | 1650 |
0.5000 | 0.9621 | 0.0425 | 41189 | 1827 |
0.4500 | 0.9668 | 0.0471 | 41387 | 2046 |
0.4000 | 0.9709 | 0.0522 | 41565 | 2287 |
0.3500 | 0.9751 | 0.0584 | 41744 | 2588 |
0.3000 | 0.9794 | 0.0661 | 41927 | 2967 |
0.2500 | 0.9833 | 0.0750 | 42095 | 3413 |
0.2000 | 0.9872 | 0.0861 | 42261 | 3982 |
0.1500 | 0.9903 | 0.0984 | 42396 | 4624 |
0.1000 | 0.9935 | 0.1163 | 42532 | 5600 |
0.0500 | 0.9968 | 0.1474 | 42672 | 7376 |
0.0000 | 1.0000 | 0.5568 | 42810 | 53792 |
+2 only | ||||
0.9999 | 0.4758 | 0.0000 | 11009 | 0 |
0.9990 | 0.5807 | 0.0001 | 13436 | 1 |
0.9900 | 0.7098 | 0.0008 | 16423 | 14 |
0.9800 | 0.7536 | 0.0016 | 17436 | 28 |
0.9500 | 0.8128 | 0.0040 | 18806 | 75 |
0.9000 | 0.8609 | 0.0081 | 19919 | 162 |
0.8500 | 0.8922 | 0.0126 | 20644 | 264 |
0.8000 | 0.9152 | 0.0175 | 21174 | 377 |
0.7500 | 0.9315 | 0.0220 | 21552 | 486 |
0.7000 | 0.9439 | 0.0265 | 21839 | 595 |
0.6500 | 0.9543 | 0.0312 | 22079 | 711 |
0.6000 | 0.9602 | 0.0344 | 22216 | 793 |
0.5500 | 0.9649 | 0.0377 | 22326 | 874 |
0.5000 | 0.9690 | 0.0410 | 22419 | 959 |
0.4500 | 0.9724 | 0.0444 | 22498 | 1046 |
0.4000 | 0.9758 | 0.0486 | 22577 | 1154 |
0.3500 | 0.9792 | 0.0537 | 22656 | 1286 |
0.3000 | 0.9829 | 0.0604 | 22741 | 1463 |
0.2500 | 0.9860 | 0.0676 | 22814 | 1655 |
0.2000 | 0.9890 | 0.0766 | 22884 | 1897 |
0.1500 | 0.9918 | 0.0874 | 22947 | 2198 |
0.1000 | 0.9945 | 0.1033 | 23011 | 2650 |
0.0500 | 0.9974 | 0.1308 | 23076 | 3474 |
0.0000 | 1.0000 | 0.4984 | 23137 | 22992 |
+3 only | ||||
0.9999 | 0.5752 | 0.0000 | 8989 | 0 |
0.9990 | 0.6476 | 0.0001 | 10121 | 1 |
0.9900 | 0.7342 | 0.0005 | 11475 | 6 |
0.9800 | 0.7644 | 0.0011 | 11946 | 13 |
0.9500 | 0.8099 | 0.0030 | 12657 | 38 |
0.9000 | 0.8492 | 0.0064 | 13271 | 86 |
0.8500 | 0.8745 | 0.0103 | 13666 | 142 |
0.8000 | 0.8930 | 0.0143 | 13956 | 203 |
0.7500 | 0.9084 | 0.0188 | 14196 | 273 |
0.7000 | 0.9223 | 0.0240 | 14414 | 355 |
0.6500 | 0.9363 | 0.0305 | 14633 | 460 |
0.6000 | 0.9444 | 0.0350 | 14760 | 535 |
0.5500 | 0.9500 | 0.0388 | 14846 | 600 |
0.5000 | 0.9549 | 0.0429 | 14923 | 670 |
0.4500 | 0.9608 | 0.0489 | 15016 | 772 |
0.4000 | 0.9657 | 0.0548 | 15092 | 876 |
0.3500 | 0.9708 | 0.0623 | 15172 | 1009 |
0.3000 | 0.9758 | 0.0712 | 15250 | 1169 |
0.2500 | 0.9806 | 0.0820 | 15325 | 1369 |
0.2000 | 0.9855 | 0.0957 | 15401 | 1629 |
0.1500 | 0.9890 | 0.1092 | 15457 | 1895 |
0.1000 | 0.9927 | 0.1294 | 15514 | 2306 |
0.0500 | 0.9963 | 0.1628 | 15570 | 3028 |
0.0000 | 1.0000 | 0.5905 | 15628 | 22536 |
+4 only | ||||
0.9999 | 0.5102 | 0.0000 | 1817 | 0 |
0.9990 | 0.6025 | 0.0001 | 2146 | 0 |
0.9900 | 0.7085 | 0.0007 | 2523 | 2 |
0.9800 | 0.7472 | 0.0014 | 2661 | 4 |
0.9500 | 0.8024 | 0.0036 | 2858 | 10 |
0.9000 | 0.8440 | 0.0073 | 3006 | 22 |
0.8500 | 0.8696 | 0.0112 | 3097 | 35 |
0.8000 | 0.8833 | 0.0142 | 3146 | 45 |
0.7500 | 0.8998 | 0.0190 | 3205 | 62 |
0.7000 | 0.9140 | 0.0243 | 3255 | 81 |
0.6500 | 0.9274 | 0.0306 | 3303 | 104 |
0.6000 | 0.9382 | 0.0367 | 3342 | 127 |
0.5500 | 0.9466 | 0.0425 | 3371 | 150 |
0.5000 | 0.9531 | 0.0478 | 3395 | 170 |
0.4500 | 0.9593 | 0.0539 | 3416 | 195 |
0.4000 | 0.9644 | 0.0600 | 3435 | 219 |
0.3500 | 0.9697 | 0.0678 | 3454 | 251 |
0.3000 | 0.9747 | 0.0765 | 3471 | 288 |
0.2500 | 0.9796 | 0.0874 | 3489 | 334 |
0.2000 | 0.9842 | 0.1003 | 3505 | 391 |
0.1500 | 0.9877 | 0.1137 | 3518 | 451 |
0.1000 | 0.9914 | 0.1337 | 3531 | 545 |
0.0500 | 0.9957 | 0.1722 | 3546 | 738 |
0.0000 | 1.0000 | 0.6401 | 3562 | 6335 |
+5 only | ||||
0.9999 | 0.2898 | 0.0000 | 140 | 0 |
0.9990 | 0.4388 | 0.0002 | 212 | 0 |
0.9900 | 0.6078 | 0.0013 | 294 | 0 |
0.9800 | 0.6670 | 0.0025 | 322 | 1 |
0.9500 | 0.7471 | 0.0058 | 361 | 2 |
0.9000 | 0.7912 | 0.0098 | 382 | 4 |
0.8500 | 0.8255 | 0.0153 | 399 | 6 |
0.8000 | 0.8581 | 0.0224 | 415 | 9 |
0.7500 | 0.8760 | 0.0272 | 423 | 12 |
0.7000 | 0.8864 | 0.0312 | 428 | 14 |
0.6500 | 0.9087 | 0.0415 | 439 | 19 |
0.6000 | 0.9191 | 0.0473 | 444 | 22 |
0.5500 | 0.9310 | 0.0551 | 450 | 26 |
0.5000 | 0.9354 | 0.0586 | 452 | 28 |
0.4500 | 0.9453 | 0.0681 | 457 | 33 |
0.4000 | 0.9532 | 0.0773 | 460 | 39 |
0.3500 | 0.9570 | 0.0827 | 462 | 42 |
0.3000 | 0.9625 | 0.0919 | 465 | 47 |
0.2500 | 0.9682 | 0.1040 | 468 | 54 |
0.2000 | 0.9748 | 0.1215 | 471 | 65 |
0.1500 | 0.9811 | 0.1445 | 474 | 80 |
0.1000 | 0.9864 | 0.1713 | 476 | 99 |
0.0500 | 0.9929 | 0.2214 | 480 | 136 |
0.0000 | 1.0000 | 0.7997 | 483 | 1929 |
Error Table | |||
Error_Rate | min_prob | num_correct | num_incorrect |
---|---|---|---|
0.0000 | 1.0000 | 7711 | 0 |
0.0001 | 0.9987 | 26337 | 3 |
0.0002 | 0.9973 | 27849 | 6 |
0.0003 | 0.9958 | 28746 | 9 |
0.0004 | 0.9945 | 29399 | 12 |
0.0005 | 0.9930 | 29909 | 15 |
0.0006 | 0.9916 | 30330 | 18 |
0.0007 | 0.9900 | 30684 | 22 |
0.0008 | 0.9887 | 30995 | 25 |
0.0009 | 0.9874 | 31272 | 28 |
0.0010 | 0.9860 | 31522 | 32 |
0.0015 | 0.9789 | 32500 | 49 |
0.0020 | 0.9718 | 33206 | 67 |
0.0025 | 0.9650 | 33764 | 85 |
0.0030 | 0.9580 | 34225 | 103 |
0.0040 | 0.9445 | 34958 | 140 |
0.0050 | 0.9317 | 35536 | 179 |
0.0060 | 0.9179 | 36014 | 218 |
0.0070 | 0.9053 | 36423 | 257 |
0.0080 | 0.8927 | 36778 | 297 |
0.0090 | 0.8816 | 37096 | 337 |
0.0100 | 0.8687 | 37382 | 378 |
0.0150 | 0.8119 | 38491 | 586 |
0.0200 | 0.7577 | 39283 | 802 |
0.0250 | 0.7046 | 39885 | 1023 |
0.0300 | 0.6593 | 40370 | 1249 |
0.0400 | 0.5324 | 41067 | 1712 |
0.0500 | 0.4220 | 41494 | 2184 |
0.0750 | 0.2499 | 42096 | 3414 |
0.1000 | 0.1437 | 42411 | 4713 |
+2 only | |||
0.0000 | 1.0000 | 4172 | 0 |
0.0001 | 0.9989 | 13464 | 1 |
0.0002 | 0.9977 | 14415 | 3 |
0.0003 | 0.9965 | 14975 | 4 |
0.0004 | 0.9953 | 15376 | 6 |
0.0005 | 0.9941 | 15697 | 8 |
0.0006 | 0.9928 | 15961 | 10 |
0.0007 | 0.9915 | 16185 | 11 |
0.0008 | 0.9903 | 16378 | 13 |
0.0009 | 0.9891 | 16550 | 15 |
0.0010 | 0.9879 | 16705 | 17 |
0.0015 | 0.9816 | 17312 | 26 |
0.0020 | 0.9751 | 17749 | 36 |
0.0025 | 0.9695 | 18093 | 45 |
0.0030 | 0.9627 | 18377 | 55 |
0.0040 | 0.9496 | 18820 | 76 |
0.0050 | 0.9374 | 19167 | 96 |
0.0060 | 0.9252 | 19454 | 118 |
0.0070 | 0.9138 | 19698 | 139 |
0.0080 | 0.9006 | 19910 | 161 |
0.0090 | 0.8894 | 20097 | 183 |
0.0100 | 0.8782 | 20266 | 205 |
0.0150 | 0.8247 | 20924 | 319 |
0.0200 | 0.7733 | 21396 | 437 |
0.0250 | 0.7160 | 21749 | 558 |
0.0300 | 0.6625 | 22024 | 682 |
0.0400 | 0.5136 | 22393 | 934 |
0.0500 | 0.3823 | 22601 | 1190 |
0.0750 | 0.2091 | 22873 | 1856 |
0.1000 | 0.1100 | 23000 | 2557 |
+3 only | |||
0.0000 | 1.0000 | 2813 | 0 |
0.0001 | 0.9982 | 10428 | 1 |
0.0002 | 0.9964 | 10852 | 2 |
0.0003 | 0.9944 | 11109 | 3 |
0.0004 | 0.9925 | 11289 | 5 |
0.0005 | 0.9907 | 11432 | 6 |
0.0006 | 0.9887 | 11549 | 7 |
0.0007 | 0.9871 | 11650 | 8 |
0.0008 | 0.9854 | 11739 | 9 |
0.0009 | 0.9835 | 11817 | 11 |
0.0010 | 0.9817 | 11888 | 12 |
0.0015 | 0.9731 | 12166 | 18 |
0.0020 | 0.9647 | 12368 | 25 |
0.0025 | 0.9566 | 12531 | 31 |
0.0030 | 0.9497 | 12666 | 38 |
0.0040 | 0.9348 | 12888 | 52 |
0.0050 | 0.9201 | 13066 | 66 |
0.0060 | 0.9063 | 13214 | 80 |
0.0070 | 0.8920 | 13342 | 94 |
0.0080 | 0.8806 | 13455 | 109 |
0.0090 | 0.8659 | 13556 | 123 |
0.0100 | 0.8531 | 13646 | 138 |
0.0150 | 0.7917 | 13996 | 213 |
0.0200 | 0.7378 | 14251 | 291 |
0.0250 | 0.6920 | 14450 | 371 |
0.0300 | 0.6542 | 14619 | 453 |
0.0400 | 0.5351 | 14871 | 620 |
0.0500 | 0.4379 | 15032 | 792 |
0.0750 | 0.2784 | 15278 | 1240 |
0.1000 | 0.1826 | 15421 | 1715 |
+4 only | |||
0.0000 | 1.0000 | 643 | 0 |
0.0001 | 0.9987 | 2184 | 0 |
0.0002 | 0.9971 | 2308 | 0 |
0.0003 | 0.9958 | 2379 | 1 |
0.0004 | 0.9941 | 2431 | 1 |
0.0005 | 0.9927 | 2472 | 1 |
0.0006 | 0.9913 | 2504 | 2 |
0.0007 | 0.9894 | 2532 | 2 |
0.0008 | 0.9883 | 2557 | 2 |
0.0009 | 0.9872 | 2579 | 2 |
0.0010 | 0.9858 | 2599 | 3 |
0.0015 | 0.9787 | 2677 | 4 |
0.0020 | 0.9719 | 2735 | 6 |
0.0025 | 0.9647 | 2781 | 7 |
0.0030 | 0.9591 | 2819 | 9 |
0.0040 | 0.9449 | 2880 | 12 |
0.0050 | 0.9278 | 2927 | 15 |
0.0060 | 0.9156 | 2965 | 18 |
0.0070 | 0.9037 | 2998 | 21 |
0.0080 | 0.8920 | 3026 | 25 |
0.0090 | 0.8777 | 3052 | 28 |
0.0100 | 0.8651 | 3075 | 31 |
0.0150 | 0.7916 | 3159 | 48 |
0.0200 | 0.7420 | 3216 | 66 |
0.0250 | 0.6926 | 3262 | 84 |
0.0300 | 0.6557 | 3300 | 103 |
0.0400 | 0.5675 | 3360 | 141 |
0.0500 | 0.4830 | 3404 | 180 |
0.0750 | 0.3114 | 3469 | 282 |
0.1000 | 0.2009 | 3505 | 391 |
+5 only | |||
0.0000 | 1.0000 | 89 | 0 |
0.0001 | 0.9994 | 191 | 0 |
0.0002 | 0.9988 | 219 | 0 |
0.0003 | 0.9979 | 235 | 0 |
0.0004 | 0.9970 | 246 | 0 |
0.0005 | 0.9964 | 254 | 0 |
0.0006 | 0.9955 | 261 | 0 |
0.0007 | 0.9948 | 267 | 0 |
0.0008 | 0.9941 | 273 | 0 |
0.0009 | 0.9935 | 278 | 0 |
0.0010 | 0.9928 | 283 | 0 |
0.0015 | 0.9888 | 301 | 0 |
0.0020 | 0.9846 | 313 | 1 |
0.0025 | 0.9796 | 324 | 1 |
0.0030 | 0.9741 | 332 | 1 |
0.0040 | 0.9675 | 345 | 1 |
0.0050 | 0.9607 | 355 | 2 |
0.0060 | 0.9473 | 364 | 2 |
0.0070 | 0.9325 | 370 | 3 |
0.0080 | 0.9191 | 376 | 3 |
0.0090 | 0.9104 | 380 | 4 |
0.0100 | 0.8901 | 384 | 4 |
0.0150 | 0.8540 | 399 | 6 |
0.0200 | 0.8157 | 411 | 9 |
0.0250 | 0.7860 | 421 | 11 |
0.0300 | 0.7034 | 428 | 14 |
0.0400 | 0.6508 | 438 | 19 |
0.0500 | 0.5851 | 447 | 24 |
0.0750 | 0.4085 | 460 | 38 |
0.1000 | 0.2689 | 467 | 53 |
peptideprophet | |
---|---|
time | 2017-02-20T14:45:36 |
author | AKeller@ISB |
est_tot_num_correct | 42810.1 |
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_56A.pep.xml |
database_refresh | |
time | 2017-02-20T14:45:24 |
interact | |
time | 2017-02-20T14:44:39 |
directory | /home/sean/Documents/proteome |
filename | /home/sean/Documents/proteome/interact-20161205_Sample_56A.pep.xml |
directory | /home/sean/Documents/proteome |
inputfile | 20161205_Sample_56A.pep.xml |
tpp_models | |
time | Mon Feb 20 14:48:06 2017 |