+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 | 0.010781 |
pos_bandwidth | 0.010781 |
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 | 21952.8 |
num_iterations | 27 |
prior_probability | 0.613 |
tot_num_spectra | 49257 |
Comet discrim score [fval] negmean: -2.08 | |
pos model | gaussian (mean 2.81, stdev 2.14) |
neg model | gaussian (mean -1.01, stdev 1.07) |
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 0.940, 1<=nmc<=2 0.060, nmc>=3 0.000) |
neg model | (nmc=0 0.491, 1<=nmc<=2 0.507, nmc>=3 0.002) |
Accurate Mass Model | |
neg_bandwidth | 0.010781 |
pos_bandwidth | 0.010781 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.035, 0 0.854, 1 0.103, 2 0.009, 3 0.000) |
neg model | (-3 0.000, -2 0.000, -1 0.304, 0 0.309, 1 0.167, 2 0.120, 3 0.100) |
+3 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 12712.5 |
num_iterations | 26 |
prior_probability | 0.521 |
tot_num_spectra | 35590 |
Comet discrim score [fval] negmean: -1.66 | |
pos model | gaussian (mean 4.02, stdev 2.47) |
neg model | gaussian (mean -0.58, stdev 1.08) |
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 0.824, 1<=nmc<=2 0.176, nmc>=3 0.000) |
neg model | (nmc=0 0.293, 1<=nmc<=2 0.700, nmc>=3 0.007) |
Accurate Mass Model | |
neg_bandwidth | 0.010781 |
pos_bandwidth | 0.010781 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.022, 0 0.769, 1 0.155, 2 0.047, 3 0.008) |
neg model | (-3 0.000, -2 0.000, -1 0.238, 0 0.225, 1 0.197, 2 0.178, 3 0.162) |
+4 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 2361.2 |
num_iterations | 28 |
prior_probability | 0.433 |
tot_num_spectra | 8382 |
Comet discrim score [fval] negmean: -2.03 | |
pos model | gaussian (mean 1.90, stdev 1.53) |
neg model | gaussian (mean -1.20, 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 0.022, ntt=2 0.978) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.678, 1<=nmc<=2 0.322, nmc>=3 0.000) |
neg model | (nmc=0 0.188, 1<=nmc<=2 0.795, nmc>=3 0.018) |
Accurate Mass Model | |
neg_bandwidth | 0.010781 |
pos_bandwidth | 0.010781 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.014, 0 0.782, 1 0.157, 2 0.040, 3 0.008) |
neg model | (-3 0.000, -2 0.000, -1 0.226, 0 0.217, 1 0.210, 2 0.184, 3 0.163) |
+5 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 231.1 |
num_iterations | 28 |
prior_probability | 0.217 |
tot_num_spectra | 1874 |
Comet discrim score [fval] negmean: -2.90 | |
pos model | gaussian (mean 1.86, stdev 1.43) |
neg model | gaussian (mean -1.70, 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 0.001, ntt=1 0.018, ntt=2 0.981) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.541, 1<=nmc<=2 0.458, nmc>=3 0.000) |
neg model | (nmc=0 0.157, 1<=nmc<=2 0.822, nmc>=3 0.020) |
Accurate Mass Model | |
neg_bandwidth | 0.010781 |
pos_bandwidth | 0.010781 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.002, 0 0.820, 1 0.158, 2 0.017, 3 0.004) |
neg model | (-3 0.000, -2 0.000, -1 0.196, 0 0.203, 1 0.222, 2 0.178, 3 0.202) |
+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 | 0.010781 |
pos_bandwidth | 0.010781 |
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 | 0.010781 |
pos_bandwidth | 0.010781 |
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_24 | |
---|---|
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_24 |
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 | 2017-02-20T13:21:49 (id: 1) |
database_refresh | 2017-02-20T13:21:38 (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 | 0.5206 | 0.0000 | 19396 | 0 |
0.9990 | 0.6088 | 0.0001 | 22681 | 2 |
0.9900 | 0.7164 | 0.0007 | 26690 | 18 |
0.9800 | 0.7546 | 0.0014 | 28113 | 40 |
0.9500 | 0.8098 | 0.0036 | 30171 | 110 |
0.9000 | 0.8533 | 0.0074 | 31791 | 236 |
0.8500 | 0.8811 | 0.0115 | 32828 | 383 |
0.8000 | 0.9018 | 0.0160 | 33598 | 546 |
0.7500 | 0.9190 | 0.0210 | 34240 | 734 |
0.7000 | 0.9336 | 0.0263 | 34785 | 940 |
0.6500 | 0.9446 | 0.0313 | 35195 | 1137 |
0.6000 | 0.9523 | 0.0355 | 35480 | 1307 |
0.5500 | 0.9577 | 0.0392 | 35683 | 1457 |
0.5000 | 0.9621 | 0.0428 | 35845 | 1602 |
0.4500 | 0.9663 | 0.0470 | 36001 | 1775 |
0.4000 | 0.9707 | 0.0524 | 36167 | 2001 |
0.3500 | 0.9742 | 0.0575 | 36297 | 2216 |
0.3000 | 0.9779 | 0.0642 | 36434 | 2501 |
0.2500 | 0.9812 | 0.0717 | 36556 | 2825 |
0.2000 | 0.9846 | 0.0818 | 36685 | 3268 |
0.1500 | 0.9886 | 0.0974 | 36832 | 3975 |
0.1000 | 0.9924 | 0.1187 | 36975 | 4981 |
0.0500 | 0.9961 | 0.1540 | 37114 | 6754 |
0.0000 | 1.0000 | 0.6082 | 37258 | 57845 |
+2 only | ||||
0.9999 | 0.4937 | 0.0000 | 10839 | 0 |
0.9990 | 0.5904 | 0.0001 | 12961 | 1 |
0.9900 | 0.7081 | 0.0008 | 15545 | 12 |
0.9800 | 0.7480 | 0.0015 | 16421 | 25 |
0.9500 | 0.8092 | 0.0040 | 17764 | 71 |
0.9000 | 0.8577 | 0.0081 | 18829 | 155 |
0.8500 | 0.8861 | 0.0123 | 19452 | 243 |
0.8000 | 0.9087 | 0.0171 | 19947 | 348 |
0.7500 | 0.9267 | 0.0222 | 20343 | 462 |
0.7000 | 0.9415 | 0.0276 | 20668 | 586 |
0.6500 | 0.9520 | 0.0323 | 20900 | 696 |
0.6000 | 0.9569 | 0.0349 | 21006 | 760 |
0.5500 | 0.9620 | 0.0384 | 21118 | 842 |
0.5000 | 0.9658 | 0.0415 | 21202 | 918 |
0.4500 | 0.9694 | 0.0451 | 21281 | 1006 |
0.4000 | 0.9732 | 0.0498 | 21364 | 1119 |
0.3500 | 0.9763 | 0.0544 | 21432 | 1232 |
0.3000 | 0.9797 | 0.0606 | 21506 | 1387 |
0.2500 | 0.9828 | 0.0677 | 21574 | 1568 |
0.2000 | 0.9860 | 0.0773 | 21645 | 1813 |
0.1500 | 0.9895 | 0.0913 | 21722 | 2182 |
0.1000 | 0.9932 | 0.1123 | 21803 | 2758 |
0.0500 | 0.9967 | 0.1462 | 21881 | 3748 |
0.0000 | 1.0000 | 0.5543 | 21953 | 27304 |
+3 only | ||||
0.9999 | 0.5802 | 0.0000 | 7376 | 0 |
0.9990 | 0.6511 | 0.0001 | 8277 | 0 |
0.9900 | 0.7387 | 0.0006 | 9391 | 5 |
0.9800 | 0.7723 | 0.0012 | 9817 | 12 |
0.9500 | 0.8168 | 0.0029 | 10383 | 31 |
0.9000 | 0.8522 | 0.0060 | 10833 | 66 |
0.8500 | 0.8786 | 0.0101 | 11169 | 113 |
0.8000 | 0.8964 | 0.0140 | 11395 | 162 |
0.7500 | 0.9131 | 0.0189 | 11608 | 224 |
0.7000 | 0.9272 | 0.0241 | 11787 | 292 |
0.6500 | 0.9389 | 0.0295 | 11936 | 363 |
0.6000 | 0.9509 | 0.0361 | 12088 | 453 |
0.5500 | 0.9561 | 0.0397 | 12155 | 503 |
0.5000 | 0.9606 | 0.0434 | 12212 | 554 |
0.4500 | 0.9647 | 0.0475 | 12264 | 612 |
0.4000 | 0.9697 | 0.0535 | 12327 | 697 |
0.3500 | 0.9733 | 0.0588 | 12372 | 773 |
0.3000 | 0.9772 | 0.0659 | 12422 | 876 |
0.2500 | 0.9803 | 0.0730 | 12462 | 982 |
0.2000 | 0.9838 | 0.0832 | 12507 | 1135 |
0.1500 | 0.9882 | 0.1003 | 12562 | 1401 |
0.1000 | 0.9919 | 0.1209 | 12610 | 1734 |
0.0500 | 0.9956 | 0.1560 | 12657 | 2340 |
0.0000 | 1.0000 | 0.6428 | 12712 | 22878 |
+4 only | ||||
0.9999 | 0.4794 | 0.0000 | 1132 | 0 |
0.9990 | 0.5789 | 0.0001 | 1367 | 0 |
0.9900 | 0.6936 | 0.0008 | 1638 | 1 |
0.9800 | 0.7399 | 0.0017 | 1747 | 3 |
0.9500 | 0.7956 | 0.0039 | 1879 | 7 |
0.9000 | 0.8338 | 0.0072 | 1969 | 14 |
0.8500 | 0.8628 | 0.0115 | 2037 | 24 |
0.8000 | 0.8806 | 0.0155 | 2079 | 33 |
0.7500 | 0.8934 | 0.0193 | 2110 | 41 |
0.7000 | 0.9069 | 0.0244 | 2141 | 54 |
0.6500 | 0.9172 | 0.0293 | 2166 | 65 |
0.6000 | 0.9269 | 0.0350 | 2189 | 79 |
0.5500 | 0.9342 | 0.0401 | 2206 | 92 |
0.5000 | 0.9419 | 0.0467 | 2224 | 109 |
0.4500 | 0.9508 | 0.0555 | 2245 | 132 |
0.4000 | 0.9584 | 0.0645 | 2263 | 156 |
0.3500 | 0.9643 | 0.0729 | 2277 | 179 |
0.3000 | 0.9692 | 0.0813 | 2289 | 202 |
0.2500 | 0.9741 | 0.0920 | 2300 | 233 |
0.2000 | 0.9789 | 0.1052 | 2311 | 272 |
0.1500 | 0.9840 | 0.1242 | 2324 | 329 |
0.1000 | 0.9892 | 0.1510 | 2336 | 415 |
0.0500 | 0.9942 | 0.1939 | 2347 | 565 |
0.0000 | 1.0000 | 0.7183 | 2361 | 6021 |
+5 only | ||||
0.9999 | 0.2121 | 0.0000 | 49 | 0 |
0.9990 | 0.3332 | 0.0002 | 77 | 0 |
0.9900 | 0.5011 | 0.0018 | 116 | 0 |
0.9800 | 0.5523 | 0.0029 | 128 | 0 |
0.9500 | 0.6279 | 0.0063 | 145 | 1 |
0.9000 | 0.6885 | 0.0119 | 159 | 2 |
0.8500 | 0.7341 | 0.0195 | 170 | 3 |
0.8000 | 0.7591 | 0.0255 | 175 | 5 |
0.7500 | 0.7792 | 0.0320 | 180 | 6 |
0.7000 | 0.8136 | 0.0457 | 188 | 9 |
0.6500 | 0.8398 | 0.0580 | 194 | 12 |
0.6000 | 0.8560 | 0.0670 | 198 | 14 |
0.5500 | 0.8858 | 0.0863 | 205 | 19 |
0.5000 | 0.8947 | 0.0933 | 207 | 21 |
0.4500 | 0.9112 | 0.1079 | 211 | 25 |
0.4000 | 0.9219 | 0.1198 | 213 | 29 |
0.3500 | 0.9319 | 0.1317 | 215 | 33 |
0.3000 | 0.9391 | 0.1423 | 217 | 36 |
0.2500 | 0.9498 | 0.1623 | 219 | 43 |
0.2000 | 0.9577 | 0.1804 | 221 | 49 |
0.1500 | 0.9705 | 0.2187 | 224 | 63 |
0.1000 | 0.9777 | 0.2470 | 226 | 74 |
0.0500 | 0.9873 | 0.3087 | 228 | 102 |
0.0000 | 1.0000 | 0.8767 | 231 | 1643 |
Error Table | |||
Error_Rate | min_prob | num_correct | num_incorrect |
---|---|---|---|
0.0000 | 1.0000 | 6718 | 0 |
0.0001 | 0.9986 | 23125 | 2 |
0.0002 | 0.9971 | 24375 | 5 |
0.0003 | 0.9956 | 25115 | 8 |
0.0004 | 0.9941 | 25650 | 10 |
0.0005 | 0.9927 | 26066 | 13 |
0.0006 | 0.9913 | 26415 | 16 |
0.0007 | 0.9898 | 26715 | 19 |
0.0008 | 0.9883 | 26977 | 22 |
0.0009 | 0.9870 | 27209 | 25 |
0.0010 | 0.9855 | 27421 | 27 |
0.0015 | 0.9785 | 28251 | 42 |
0.0020 | 0.9721 | 28864 | 58 |
0.0025 | 0.9652 | 29349 | 74 |
0.0030 | 0.9586 | 29752 | 90 |
0.0040 | 0.9443 | 30398 | 122 |
0.0050 | 0.9314 | 30901 | 155 |
0.0060 | 0.9176 | 31317 | 189 |
0.0070 | 0.9048 | 31670 | 223 |
0.0080 | 0.8916 | 31976 | 258 |
0.0090 | 0.8791 | 32246 | 293 |
0.0100 | 0.8686 | 32491 | 328 |
0.0150 | 0.8104 | 33445 | 510 |
0.0200 | 0.7589 | 34127 | 697 |
0.0250 | 0.7123 | 34664 | 889 |
0.0300 | 0.6634 | 35097 | 1086 |
0.0400 | 0.5392 | 35722 | 1489 |
0.0500 | 0.4216 | 36097 | 1901 |
0.0750 | 0.2326 | 36602 | 2969 |
0.1000 | 0.1432 | 36853 | 4096 |
+2 only | |||
0.0000 | 1.0000 | 3939 | 0 |
0.0001 | 0.9988 | 13115 | 1 |
0.0002 | 0.9974 | 13930 | 3 |
0.0003 | 0.9961 | 14417 | 4 |
0.0004 | 0.9948 | 14765 | 6 |
0.0005 | 0.9933 | 15036 | 8 |
0.0006 | 0.9920 | 15259 | 9 |
0.0007 | 0.9906 | 15450 | 11 |
0.0008 | 0.9894 | 15617 | 13 |
0.0009 | 0.9880 | 15767 | 14 |
0.0010 | 0.9866 | 15900 | 16 |
0.0015 | 0.9800 | 16419 | 25 |
0.0020 | 0.9739 | 16802 | 34 |
0.0025 | 0.9674 | 17108 | 43 |
0.0030 | 0.9615 | 17363 | 52 |
0.0040 | 0.9496 | 17779 | 71 |
0.0050 | 0.9374 | 18105 | 91 |
0.0060 | 0.9250 | 18375 | 111 |
0.0070 | 0.9125 | 18604 | 131 |
0.0080 | 0.9013 | 18804 | 152 |
0.0090 | 0.8879 | 18981 | 173 |
0.0100 | 0.8767 | 19138 | 193 |
0.0150 | 0.8213 | 19748 | 301 |
0.0200 | 0.7712 | 20184 | 412 |
0.0250 | 0.7244 | 20522 | 527 |
0.0300 | 0.6732 | 20795 | 644 |
0.0400 | 0.5266 | 21164 | 883 |
0.0500 | 0.3963 | 21369 | 1125 |
0.0750 | 0.2112 | 21630 | 1755 |
0.1000 | 0.1265 | 21760 | 2419 |
+3 only | |||
0.0000 | 1.0000 | 2311 | 0 |
0.0001 | 0.9982 | 8533 | 1 |
0.0002 | 0.9962 | 8865 | 2 |
0.0003 | 0.9943 | 9066 | 3 |
0.0004 | 0.9926 | 9211 | 4 |
0.0005 | 0.9909 | 9330 | 5 |
0.0006 | 0.9892 | 9430 | 6 |
0.0007 | 0.9876 | 9515 | 7 |
0.0008 | 0.9860 | 9591 | 8 |
0.0009 | 0.9844 | 9660 | 9 |
0.0010 | 0.9831 | 9722 | 10 |
0.0015 | 0.9745 | 9967 | 15 |
0.0020 | 0.9667 | 10145 | 20 |
0.0025 | 0.9577 | 10285 | 26 |
0.0030 | 0.9491 | 10398 | 31 |
0.0040 | 0.9323 | 10575 | 43 |
0.0050 | 0.9169 | 10716 | 54 |
0.0060 | 0.9002 | 10831 | 66 |
0.0070 | 0.8868 | 10929 | 77 |
0.0080 | 0.8729 | 11016 | 89 |
0.0090 | 0.8625 | 11094 | 101 |
0.0100 | 0.8506 | 11166 | 113 |
0.0150 | 0.7874 | 11445 | 175 |
0.0200 | 0.7402 | 11650 | 238 |
0.0250 | 0.6906 | 11814 | 303 |
0.0300 | 0.6469 | 11948 | 370 |
0.0400 | 0.5464 | 12160 | 507 |
0.0500 | 0.4286 | 12291 | 648 |
0.0750 | 0.2391 | 12472 | 1013 |
0.1000 | 0.1504 | 12562 | 1397 |
+4 only | |||
0.0000 | 1.0000 | 430 | 0 |
0.0001 | 0.9988 | 1377 | 0 |
0.0002 | 0.9975 | 1467 | 0 |
0.0003 | 0.9961 | 1520 | 0 |
0.0004 | 0.9946 | 1555 | 1 |
0.0005 | 0.9934 | 1584 | 1 |
0.0006 | 0.9923 | 1608 | 1 |
0.0007 | 0.9908 | 1630 | 1 |
0.0008 | 0.9892 | 1648 | 1 |
0.0009 | 0.9876 | 1662 | 2 |
0.0010 | 0.9865 | 1676 | 2 |
0.0015 | 0.9811 | 1734 | 3 |
0.0020 | 0.9761 | 1777 | 4 |
0.0025 | 0.9690 | 1813 | 5 |
0.0030 | 0.9610 | 1840 | 6 |
0.0040 | 0.9485 | 1883 | 8 |
0.0050 | 0.9352 | 1917 | 10 |
0.0060 | 0.9179 | 1944 | 12 |
0.0070 | 0.9067 | 1966 | 14 |
0.0080 | 0.8927 | 1985 | 16 |
0.0090 | 0.8805 | 2003 | 18 |
0.0100 | 0.8698 | 2017 | 21 |
0.0150 | 0.8033 | 2076 | 32 |
0.0200 | 0.7398 | 2116 | 43 |
0.0250 | 0.6889 | 2146 | 55 |
0.0300 | 0.6441 | 2170 | 67 |
0.0400 | 0.5501 | 2206 | 93 |
0.0500 | 0.4811 | 2233 | 119 |
0.0750 | 0.3420 | 2280 | 186 |
0.1000 | 0.2192 | 2308 | 257 |
+5 only | |||
0.0000 | 0.9999 | 44 | 0 |
0.0001 | 0.9994 | 68 | 0 |
0.0002 | 0.9990 | 78 | 0 |
0.0003 | 0.9983 | 85 | 0 |
0.0004 | 0.9971 | 89 | 0 |
0.0005 | 0.9962 | 92 | 0 |
0.0006 | 0.9959 | 95 | 0 |
0.0007 | 0.9954 | 97 | 0 |
0.0008 | 0.9950 | 100 | 0 |
0.0009 | 0.9949 | 102 | 0 |
0.0010 | 0.9945 | 104 | 0 |
0.0015 | 0.9912 | 114 | 0 |
0.0020 | 0.9875 | 121 | 0 |
0.0025 | 0.9845 | 126 | 0 |
0.0030 | 0.9787 | 130 | 0 |
0.0040 | 0.9717 | 135 | 1 |
0.0050 | 0.9671 | 141 | 1 |
0.0060 | 0.9613 | 145 | 1 |
0.0070 | 0.9454 | 149 | 1 |
0.0080 | 0.9411 | 152 | 1 |
0.0090 | 0.9335 | 154 | 2 |
0.0100 | 0.9240 | 156 | 2 |
0.0150 | 0.8807 | 165 | 3 |
0.0200 | 0.8480 | 171 | 4 |
0.0250 | 0.8086 | 176 | 5 |
0.0300 | 0.7691 | 180 | 6 |
0.0400 | 0.7161 | 186 | 8 |
0.0500 | 0.6840 | 191 | 11 |
0.0750 | 0.5820 | 201 | 17 |
0.1000 | 0.4807 | 209 | 24 |
peptideprophet | |
---|---|
time | 2017-02-20T13:21:49 |
author | AKeller@ISB |
est_tot_num_correct | 37257.5 |
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_24.pep.xml |
database_refresh | |
time | 2017-02-20T13:21:38 |
interact | |
time | 2017-02-20T13:20:55 |
directory | /home/sean/Documents/proteome |
filename | /home/sean/Documents/proteome/interact-20161205_Sample_24.pep.xml |
directory | /home/sean/Documents/proteome |
inputfile | 20161205_Sample_24.pep.xml |
tpp_models | |
time | Mon Feb 20 13:24:01 2017 |