+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 | 0.010861 |
pos_bandwidth | 0.010861 |
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 | 19324.4 |
num_iterations | 27 |
prior_probability | 0.674 |
tot_num_spectra | 37791 |
Comet discrim score [fval] negmean: -2.07 | |
pos model | gaussian (mean 2.95, stdev 2.09) |
neg model | gaussian (mean -0.90, 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 0.025, ntt=2 0.975) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.900, 1<=nmc<=2 0.100, nmc>=3 0.000) |
neg model | (nmc=0 0.493, 1<=nmc<=2 0.505, nmc>=3 0.002) |
Accurate Mass Model | |
neg_bandwidth | 0.010861 |
pos_bandwidth | 0.010861 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.027, 0 0.859, 1 0.104, 2 0.009, 3 0.000) |
neg model | (-3 0.000, -2 0.000, -1 0.305, 0 0.313, 1 0.159, 2 0.120, 3 0.104) |
+3 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 16212.6 |
num_iterations | 26 |
prior_probability | 0.589 |
tot_num_spectra | 38172 |
Comet discrim score [fval] negmean: -1.57 | |
pos model | gaussian (mean 4.08, stdev 2.49) |
neg model | gaussian (mean -0.48, 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 0.693, 1<=nmc<=2 0.307, nmc>=3 0.000) |
neg model | (nmc=0 0.291, 1<=nmc<=2 0.701, nmc>=3 0.008) |
Accurate Mass Model | |
neg_bandwidth | 0.010861 |
pos_bandwidth | 0.010861 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.019, 0 0.773, 1 0.154, 2 0.047, 3 0.006) |
neg model | (-3 0.000, -2 0.000, -1 0.238, 0 0.227, 1 0.194, 2 0.181, 3 0.160) |
+4 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 4018.7 |
num_iterations | 27 |
prior_probability | 0.511 |
tot_num_spectra | 11392 |
Comet discrim score [fval] negmean: -2.03 | |
pos model | gaussian (mean 1.95, stdev 1.54) |
neg model | gaussian (mean -1.20, stdev 0.84) |
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 0.498, 1<=nmc<=2 0.502, nmc>=3 0.000) |
neg model | (nmc=0 0.200, 1<=nmc<=2 0.786, nmc>=3 0.014) |
Accurate Mass Model | |
neg_bandwidth | 0.010861 |
pos_bandwidth | 0.010861 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.011, 0 0.804, 1 0.150, 2 0.032, 3 0.003) |
neg model | (-3 0.000, -2 0.000, -1 0.245, 0 0.214, 1 0.197, 2 0.182, 3 0.163) |
+5 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 619.4 |
num_iterations | 28 |
prior_probability | 0.349 |
tot_num_spectra | 2885 |
Comet discrim score [fval] negmean: -2.89 | |
pos model | gaussian (mean 1.90, stdev 1.47) |
neg model | gaussian (mean -1.72, stdev 1.18) |
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 0.024, ntt=2 0.976) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.414, 1<=nmc<=2 0.586, nmc>=3 0.000) |
neg model | (nmc=0 0.144, 1<=nmc<=2 0.834, nmc>=3 0.022) |
Accurate Mass Model | |
neg_bandwidth | 0.010861 |
pos_bandwidth | 0.010861 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.003, 0 0.844, 1 0.137, 2 0.012, 3 0.003) |
neg model | (-3 0.000, -2 0.000, -1 0.203, 0 0.187, 1 0.223, 2 0.200, 3 0.188) |
+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 | 0.010861 |
pos_bandwidth | 0.010861 |
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 | 0.010861 |
pos_bandwidth | 0.010861 |
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_40A | |
---|---|
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_40A |
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 | 2017-02-20T14:02:00 (id: 1) |
database_refresh | 2017-02-20T14:01:49 (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 | 0.5032 | 0.0000 | 20218 | 0 |
0.9990 | 0.5956 | 0.0001 | 23930 | 2 |
0.9900 | 0.7137 | 0.0007 | 28673 | 21 |
0.9800 | 0.7534 | 0.0015 | 30267 | 45 |
0.9500 | 0.8089 | 0.0037 | 32499 | 120 |
0.9000 | 0.8532 | 0.0075 | 34279 | 260 |
0.8500 | 0.8811 | 0.0117 | 35399 | 418 |
0.8000 | 0.9027 | 0.0163 | 36268 | 601 |
0.7500 | 0.9197 | 0.0212 | 36951 | 798 |
0.7000 | 0.9333 | 0.0261 | 37494 | 1005 |
0.6500 | 0.9442 | 0.0311 | 37933 | 1216 |
0.6000 | 0.9509 | 0.0348 | 38204 | 1378 |
0.5500 | 0.9569 | 0.0389 | 38444 | 1554 |
0.5000 | 0.9621 | 0.0432 | 38654 | 1743 |
0.4500 | 0.9673 | 0.0483 | 38862 | 1974 |
0.4000 | 0.9721 | 0.0540 | 39052 | 2231 |
0.3500 | 0.9762 | 0.0601 | 39219 | 2509 |
0.3000 | 0.9801 | 0.0672 | 39377 | 2836 |
0.2500 | 0.9841 | 0.0762 | 39538 | 3263 |
0.2000 | 0.9875 | 0.0858 | 39671 | 3723 |
0.1500 | 0.9905 | 0.0975 | 39792 | 4299 |
0.1000 | 0.9936 | 0.1152 | 39918 | 5198 |
0.0500 | 0.9968 | 0.1464 | 40048 | 6869 |
0.0000 | 1.0000 | 0.5548 | 40175 | 50065 |
+2 only | ||||
0.9999 | 0.4593 | 0.0000 | 8876 | 0 |
0.9990 | 0.5691 | 0.0001 | 10998 | 1 |
0.9900 | 0.7095 | 0.0009 | 13711 | 12 |
0.9800 | 0.7553 | 0.0017 | 14596 | 25 |
0.9500 | 0.8185 | 0.0042 | 15817 | 66 |
0.9000 | 0.8657 | 0.0081 | 16729 | 137 |
0.8500 | 0.8955 | 0.0125 | 17305 | 218 |
0.8000 | 0.9179 | 0.0171 | 17738 | 309 |
0.7500 | 0.9353 | 0.0220 | 18075 | 406 |
0.7000 | 0.9468 | 0.0261 | 18295 | 490 |
0.6500 | 0.9551 | 0.0298 | 18456 | 567 |
0.6000 | 0.9617 | 0.0334 | 18584 | 643 |
0.5500 | 0.9672 | 0.0372 | 18690 | 721 |
0.5000 | 0.9712 | 0.0405 | 18768 | 792 |
0.4500 | 0.9749 | 0.0442 | 18839 | 871 |
0.4000 | 0.9785 | 0.0485 | 18908 | 964 |
0.3500 | 0.9815 | 0.0530 | 18967 | 1062 |
0.3000 | 0.9842 | 0.0579 | 19019 | 1170 |
0.2500 | 0.9869 | 0.0642 | 19071 | 1308 |
0.2000 | 0.9896 | 0.0723 | 19124 | 1491 |
0.1500 | 0.9921 | 0.0822 | 19171 | 1717 |
0.1000 | 0.9947 | 0.0976 | 19222 | 2079 |
0.0500 | 0.9975 | 0.1257 | 19277 | 2771 |
0.0000 | 1.0000 | 0.4887 | 19324 | 18467 |
+3 only | ||||
0.9999 | 0.5672 | 0.0000 | 9196 | 0 |
0.9990 | 0.6380 | 0.0001 | 10344 | 1 |
0.9900 | 0.7269 | 0.0006 | 11784 | 7 |
0.9800 | 0.7593 | 0.0012 | 12311 | 14 |
0.9500 | 0.8064 | 0.0031 | 13074 | 41 |
0.9000 | 0.8460 | 0.0066 | 13716 | 91 |
0.8500 | 0.8717 | 0.0105 | 14133 | 150 |
0.8000 | 0.8925 | 0.0151 | 14469 | 222 |
0.7500 | 0.9092 | 0.0200 | 14741 | 300 |
0.7000 | 0.9254 | 0.0260 | 15004 | 400 |
0.6500 | 0.9393 | 0.0323 | 15228 | 508 |
0.6000 | 0.9456 | 0.0358 | 15331 | 569 |
0.5500 | 0.9505 | 0.0392 | 15411 | 628 |
0.5000 | 0.9563 | 0.0440 | 15505 | 713 |
0.4500 | 0.9622 | 0.0499 | 15600 | 818 |
0.4000 | 0.9679 | 0.0567 | 15692 | 942 |
0.3500 | 0.9727 | 0.0638 | 15770 | 1074 |
0.3000 | 0.9777 | 0.0727 | 15851 | 1243 |
0.2500 | 0.9828 | 0.0838 | 15933 | 1458 |
0.2000 | 0.9860 | 0.0931 | 15986 | 1642 |
0.1500 | 0.9895 | 0.1064 | 16042 | 1911 |
0.1000 | 0.9930 | 0.1257 | 16099 | 2314 |
0.0500 | 0.9964 | 0.1574 | 16154 | 3018 |
0.0000 | 1.0000 | 0.5753 | 16213 | 21959 |
+4 only | ||||
0.9999 | 0.4895 | 0.0000 | 1967 | 0 |
0.9990 | 0.5795 | 0.0001 | 2329 | 0 |
0.9900 | 0.6989 | 0.0008 | 2809 | 2 |
0.9800 | 0.7374 | 0.0015 | 2964 | 4 |
0.9500 | 0.7873 | 0.0035 | 3164 | 11 |
0.9000 | 0.8324 | 0.0076 | 3345 | 26 |
0.8500 | 0.8584 | 0.0116 | 3450 | 40 |
0.8000 | 0.8789 | 0.0161 | 3532 | 58 |
0.7500 | 0.8938 | 0.0204 | 3592 | 75 |
0.7000 | 0.9063 | 0.0252 | 3642 | 94 |
0.6500 | 0.9175 | 0.0304 | 3687 | 116 |
0.6000 | 0.9263 | 0.0354 | 3722 | 137 |
0.5500 | 0.9384 | 0.0438 | 3771 | 173 |
0.5000 | 0.9464 | 0.0503 | 3803 | 202 |
0.4500 | 0.9560 | 0.0597 | 3842 | 244 |
0.4000 | 0.9618 | 0.0665 | 3865 | 276 |
0.3500 | 0.9677 | 0.0748 | 3889 | 314 |
0.3000 | 0.9727 | 0.0836 | 3909 | 357 |
0.2500 | 0.9786 | 0.0963 | 3933 | 419 |
0.2000 | 0.9844 | 0.1118 | 3956 | 498 |
0.1500 | 0.9875 | 0.1233 | 3969 | 558 |
0.1000 | 0.9916 | 0.1449 | 3985 | 675 |
0.0500 | 0.9958 | 0.1831 | 4002 | 897 |
0.0000 | 1.0000 | 0.6472 | 4019 | 7373 |
+5 only | ||||
0.9999 | 0.2890 | 0.0000 | 179 | 0 |
0.9990 | 0.4181 | 0.0002 | 259 | 0 |
0.9900 | 0.5949 | 0.0014 | 368 | 1 |
0.9800 | 0.6411 | 0.0024 | 397 | 1 |
0.9500 | 0.7161 | 0.0055 | 444 | 2 |
0.9000 | 0.7894 | 0.0122 | 489 | 6 |
0.8500 | 0.8263 | 0.0177 | 512 | 9 |
0.8000 | 0.8528 | 0.0236 | 528 | 13 |
0.7500 | 0.8767 | 0.0303 | 543 | 17 |
0.7000 | 0.8930 | 0.0364 | 553 | 21 |
0.6500 | 0.9071 | 0.0429 | 562 | 25 |
0.6000 | 0.9163 | 0.0478 | 568 | 28 |
0.5500 | 0.9238 | 0.0527 | 572 | 32 |
0.5000 | 0.9322 | 0.0596 | 577 | 37 |
0.4500 | 0.9383 | 0.0656 | 581 | 41 |
0.4000 | 0.9479 | 0.0768 | 587 | 49 |
0.3500 | 0.9576 | 0.0903 | 593 | 59 |
0.3000 | 0.9638 | 0.1010 | 597 | 67 |
0.2500 | 0.9703 | 0.1149 | 601 | 78 |
0.2000 | 0.9767 | 0.1321 | 605 | 92 |
0.1500 | 0.9840 | 0.1571 | 609 | 114 |
0.1000 | 0.9877 | 0.1756 | 612 | 130 |
0.0500 | 0.9943 | 0.2283 | 616 | 182 |
0.0000 | 1.0000 | 0.7853 | 619 | 2266 |
Error Table | |||
Error_Rate | min_prob | num_correct | num_incorrect |
---|---|---|---|
0.0000 | 1.0000 | 7175 | 0 |
0.0001 | 0.9987 | 24297 | 2 |
0.0002 | 0.9974 | 25772 | 5 |
0.0003 | 0.9960 | 26647 | 8 |
0.0004 | 0.9947 | 27277 | 11 |
0.0005 | 0.9933 | 27768 | 14 |
0.0006 | 0.9919 | 28177 | 17 |
0.0007 | 0.9906 | 28525 | 20 |
0.0008 | 0.9892 | 28830 | 23 |
0.0009 | 0.9880 | 29101 | 26 |
0.0010 | 0.9866 | 29348 | 29 |
0.0015 | 0.9798 | 30302 | 46 |
0.0020 | 0.9731 | 30996 | 62 |
0.0025 | 0.9661 | 31541 | 79 |
0.0030 | 0.9595 | 31989 | 96 |
0.0040 | 0.9457 | 32700 | 131 |
0.0050 | 0.9325 | 33253 | 167 |
0.0060 | 0.9192 | 33707 | 204 |
0.0070 | 0.9065 | 34096 | 240 |
0.0080 | 0.8938 | 34433 | 278 |
0.0090 | 0.8824 | 34732 | 316 |
0.0100 | 0.8696 | 35000 | 354 |
0.0150 | 0.8133 | 36050 | 549 |
0.0200 | 0.7620 | 36805 | 752 |
0.0250 | 0.7110 | 37385 | 959 |
0.0300 | 0.6603 | 37849 | 1171 |
0.0400 | 0.5361 | 38505 | 1605 |
0.0500 | 0.4349 | 38922 | 2050 |
0.0750 | 0.2556 | 39518 | 3206 |
0.1000 | 0.1416 | 39813 | 4425 |
+2 only | |||
0.0000 | 1.0000 | 3425 | 0 |
0.0001 | 0.9990 | 10949 | 1 |
0.0002 | 0.9979 | 11806 | 2 |
0.0003 | 0.9967 | 12308 | 4 |
0.0004 | 0.9956 | 12671 | 5 |
0.0005 | 0.9945 | 12958 | 6 |
0.0006 | 0.9933 | 13194 | 8 |
0.0007 | 0.9922 | 13395 | 9 |
0.0008 | 0.9910 | 13569 | 11 |
0.0009 | 0.9898 | 13726 | 12 |
0.0010 | 0.9887 | 13864 | 14 |
0.0015 | 0.9827 | 14409 | 22 |
0.0020 | 0.9769 | 14800 | 30 |
0.0025 | 0.9710 | 15108 | 38 |
0.0030 | 0.9647 | 15361 | 46 |
0.0040 | 0.9524 | 15761 | 63 |
0.0050 | 0.9400 | 16066 | 81 |
0.0060 | 0.9276 | 16317 | 99 |
0.0070 | 0.9157 | 16528 | 117 |
0.0080 | 0.9016 | 16710 | 135 |
0.0090 | 0.8894 | 16868 | 153 |
0.0100 | 0.8780 | 17009 | 172 |
0.0150 | 0.8234 | 17558 | 268 |
0.0200 | 0.7712 | 17949 | 367 |
0.0250 | 0.7153 | 18244 | 468 |
0.0300 | 0.6476 | 18465 | 572 |
0.0400 | 0.5069 | 18759 | 782 |
0.0500 | 0.3832 | 18930 | 997 |
0.0750 | 0.1828 | 19139 | 1553 |
0.1000 | 0.0945 | 19229 | 2137 |
+3 only | |||
0.0000 | 1.0000 | 2924 | 0 |
0.0001 | 0.9982 | 10660 | 1 |
0.0002 | 0.9964 | 11111 | 2 |
0.0003 | 0.9945 | 11377 | 3 |
0.0004 | 0.9927 | 11564 | 5 |
0.0005 | 0.9909 | 11714 | 6 |
0.0006 | 0.9892 | 11839 | 7 |
0.0007 | 0.9877 | 11947 | 8 |
0.0008 | 0.9860 | 12042 | 10 |
0.0009 | 0.9844 | 12128 | 11 |
0.0010 | 0.9828 | 12206 | 12 |
0.0015 | 0.9746 | 12508 | 19 |
0.0020 | 0.9660 | 12728 | 26 |
0.0025 | 0.9588 | 12905 | 32 |
0.0030 | 0.9516 | 13052 | 39 |
0.0040 | 0.9364 | 13289 | 53 |
0.0050 | 0.9209 | 13476 | 68 |
0.0060 | 0.9071 | 13632 | 82 |
0.0070 | 0.8952 | 13767 | 97 |
0.0080 | 0.8824 | 13886 | 112 |
0.0090 | 0.8677 | 13991 | 127 |
0.0100 | 0.8566 | 14086 | 142 |
0.0150 | 0.8014 | 14465 | 221 |
0.0200 | 0.7495 | 14744 | 301 |
0.0250 | 0.7075 | 14965 | 384 |
0.0300 | 0.6682 | 15153 | 469 |
0.0400 | 0.5411 | 15429 | 643 |
0.0500 | 0.4493 | 15602 | 822 |
0.0750 | 0.2888 | 15870 | 1288 |
0.1000 | 0.1712 | 16018 | 1781 |
+4 only | |||
0.0000 | 1.0000 | 720 | 0 |
0.0001 | 0.9988 | 2371 | 0 |
0.0002 | 0.9975 | 2516 | 1 |
0.0003 | 0.9961 | 2606 | 1 |
0.0004 | 0.9945 | 2667 | 1 |
0.0005 | 0.9931 | 2715 | 1 |
0.0006 | 0.9921 | 2754 | 2 |
0.0007 | 0.9908 | 2789 | 2 |
0.0008 | 0.9895 | 2820 | 2 |
0.0009 | 0.9882 | 2847 | 3 |
0.0010 | 0.9866 | 2871 | 3 |
0.0015 | 0.9800 | 2965 | 4 |
0.0020 | 0.9735 | 3033 | 6 |
0.0025 | 0.9653 | 3087 | 8 |
0.0030 | 0.9584 | 3130 | 9 |
0.0040 | 0.9426 | 3195 | 13 |
0.0050 | 0.9302 | 3246 | 16 |
0.0060 | 0.9161 | 3288 | 20 |
0.0070 | 0.9050 | 3325 | 24 |
0.0080 | 0.8943 | 3358 | 27 |
0.0090 | 0.8824 | 3388 | 31 |
0.0100 | 0.8700 | 3413 | 35 |
0.0150 | 0.8130 | 3515 | 54 |
0.0200 | 0.7567 | 3588 | 73 |
0.0250 | 0.7008 | 3641 | 94 |
0.0300 | 0.6516 | 3685 | 114 |
0.0400 | 0.5741 | 3751 | 157 |
0.0500 | 0.5019 | 3803 | 201 |
0.0750 | 0.3479 | 3890 | 316 |
0.1000 | 0.2364 | 3939 | 439 |
+5 only | |||
0.0000 | 1.0000 | 112 | 0 |
0.0001 | 0.9994 | 232 | 0 |
0.0002 | 0.9988 | 267 | 0 |
0.0003 | 0.9980 | 288 | 0 |
0.0004 | 0.9971 | 303 | 0 |
0.0005 | 0.9966 | 314 | 0 |
0.0006 | 0.9957 | 323 | 0 |
0.0007 | 0.9951 | 332 | 0 |
0.0008 | 0.9943 | 339 | 0 |
0.0009 | 0.9936 | 346 | 0 |
0.0010 | 0.9930 | 352 | 0 |
0.0015 | 0.9889 | 374 | 1 |
0.0020 | 0.9831 | 390 | 1 |
0.0025 | 0.9795 | 402 | 1 |
0.0030 | 0.9753 | 412 | 1 |
0.0040 | 0.9659 | 429 | 2 |
0.0050 | 0.9543 | 441 | 2 |
0.0060 | 0.9439 | 450 | 3 |
0.0070 | 0.9395 | 458 | 3 |
0.0080 | 0.9293 | 465 | 4 |
0.0090 | 0.9238 | 473 | 4 |
0.0100 | 0.9143 | 478 | 5 |
0.0150 | 0.8715 | 503 | 8 |
0.0200 | 0.8306 | 520 | 11 |
0.0250 | 0.7902 | 533 | 14 |
0.0300 | 0.7530 | 544 | 17 |
0.0400 | 0.6689 | 559 | 24 |
0.0500 | 0.5859 | 570 | 31 |
0.0750 | 0.4067 | 587 | 48 |
0.1000 | 0.3043 | 597 | 67 |
peptideprophet | |
---|---|
time | 2017-02-20T14:02:00 |
author | AKeller@ISB |
est_tot_num_correct | 40175.2 |
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_40A.pep.xml |
database_refresh | |
time | 2017-02-20T14:01:49 |
interact | |
time | 2017-02-20T14:01:08 |
directory | /home/sean/Documents/proteome |
filename | /home/sean/Documents/proteome/interact-20161205_Sample_40A.pep.xml |
directory | /home/sean/Documents/proteome |
inputfile | 20161205_Sample_40A.pep.xml |
tpp_models | |
time | Mon Feb 20 14:04:19 2017 |