+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 | 0.010798 |
pos_bandwidth | 0.010798 |
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 | 24474.9 |
num_iterations | 27 |
prior_probability | 0.688 |
tot_num_spectra | 45776 |
Comet discrim score [fval] negmean: -2.02 | |
pos model | gaussian (mean 3.00, stdev 2.10) |
neg model | gaussian (mean -0.94, 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 0.022, ntt=2 0.978) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.935, 1<=nmc<=2 0.065, nmc>=3 0.000) |
neg model | (nmc=0 0.491, 1<=nmc<=2 0.507, nmc>=3 0.002) |
Accurate Mass Model | |
neg_bandwidth | 0.010798 |
pos_bandwidth | 0.010798 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.029, 0 0.852, 1 0.109, 2 0.009, 3 0.000) |
neg model | (-3 0.000, -2 0.000, -1 0.310, 0 0.315, 1 0.160, 2 0.115, 3 0.099) |
+3 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 16070.0 |
num_iterations | 26 |
prior_probability | 0.591 |
tot_num_spectra | 37507 |
Comet discrim score [fval] negmean: -1.62 | |
pos model | gaussian (mean 4.06, stdev 2.50) |
neg model | gaussian (mean -0.53, 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 0.020, ntt=2 0.980) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.827, 1<=nmc<=2 0.173, nmc>=3 0.000) |
neg model | (nmc=0 0.286, 1<=nmc<=2 0.706, nmc>=3 0.008) |
Accurate Mass Model | |
neg_bandwidth | 0.010798 |
pos_bandwidth | 0.010798 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.022, 0 0.767, 1 0.154, 2 0.048, 3 0.009) |
neg model | (-3 0.000, -2 0.000, -1 0.237, 0 0.224, 1 0.198, 2 0.180, 3 0.161) |
+4 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 3120.0 |
num_iterations | 26 |
prior_probability | 0.520 |
tot_num_spectra | 8772 |
Comet discrim score [fval] negmean: -2.05 | |
pos model | gaussian (mean 1.96, stdev 1.51) |
neg model | gaussian (mean -1.21, 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 0.025, ntt=2 0.974) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.686, 1<=nmc<=2 0.314, nmc>=3 0.000) |
neg model | (nmc=0 0.191, 1<=nmc<=2 0.790, nmc>=3 0.018) |
Accurate Mass Model | |
neg_bandwidth | 0.010798 |
pos_bandwidth | 0.010798 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.014, 0 0.784, 1 0.159, 2 0.038, 3 0.006) |
neg model | (-3 0.000, -2 0.000, -1 0.222, 0 0.216, 1 0.203, 2 0.182, 3 0.178) |
+5 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 415.2 |
num_iterations | 26 |
prior_probability | 0.330 |
tot_num_spectra | 2074 |
Comet discrim score [fval] negmean: -2.86 | |
pos model | gaussian (mean 1.79, stdev 1.54) |
neg model | gaussian (mean -1.74, 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 0.023, ntt=2 0.977) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.571, 1<=nmc<=2 0.429, nmc>=3 0.000) |
neg model | (nmc=0 0.135, 1<=nmc<=2 0.841, nmc>=3 0.023) |
Accurate Mass Model | |
neg_bandwidth | 0.010798 |
pos_bandwidth | 0.010798 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.009, 0 0.825, 1 0.156, 2 0.007, 3 0.003) |
neg model | (-3 0.000, -2 0.000, -1 0.216, 0 0.191, 1 0.210, 2 0.199, 3 0.184) |
+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 | 0.010798 |
pos_bandwidth | 0.010798 |
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 | 0.010798 |
pos_bandwidth | 0.010798 |
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_19 | |
---|---|
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_19 |
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 | 2017-02-20T13:01:44 (id: 1) |
database_refresh | 2017-02-20T13:01:33 (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 | 0.5429 | 0.0000 | 23933 | 0 |
0.9990 | 0.6284 | 0.0001 | 27701 | 2 |
0.9900 | 0.7383 | 0.0007 | 32545 | 22 |
0.9800 | 0.7731 | 0.0013 | 34077 | 45 |
0.9500 | 0.8255 | 0.0034 | 36387 | 123 |
0.9000 | 0.8680 | 0.0070 | 38263 | 272 |
0.8500 | 0.8940 | 0.0109 | 39406 | 433 |
0.8000 | 0.9154 | 0.0155 | 40352 | 634 |
0.7500 | 0.9314 | 0.0200 | 41058 | 838 |
0.7000 | 0.9448 | 0.0249 | 41649 | 1063 |
0.6500 | 0.9526 | 0.0284 | 41990 | 1226 |
0.6000 | 0.9590 | 0.0320 | 42274 | 1396 |
0.5500 | 0.9641 | 0.0354 | 42498 | 1560 |
0.5000 | 0.9685 | 0.0391 | 42691 | 1735 |
0.4500 | 0.9724 | 0.0430 | 42862 | 1924 |
0.4000 | 0.9760 | 0.0474 | 43023 | 2140 |
0.3500 | 0.9793 | 0.0522 | 43166 | 2379 |
0.3000 | 0.9823 | 0.0578 | 43300 | 2658 |
0.2500 | 0.9855 | 0.0652 | 43440 | 3028 |
0.2000 | 0.9886 | 0.0744 | 43576 | 3503 |
0.1500 | 0.9917 | 0.0870 | 43716 | 4166 |
0.1000 | 0.9945 | 0.1031 | 43838 | 5037 |
0.0500 | 0.9973 | 0.1304 | 43959 | 6591 |
0.0000 | 1.0000 | 0.5317 | 44080 | 50049 |
+2 only | ||||
0.9999 | 0.5267 | 0.0000 | 12891 | 0 |
0.9990 | 0.6184 | 0.0001 | 15135 | 1 |
0.9900 | 0.7386 | 0.0007 | 18078 | 13 |
0.9800 | 0.7752 | 0.0014 | 18973 | 27 |
0.9500 | 0.8314 | 0.0036 | 20350 | 73 |
0.9000 | 0.8766 | 0.0074 | 21456 | 160 |
0.8500 | 0.9030 | 0.0113 | 22100 | 252 |
0.8000 | 0.9248 | 0.0159 | 22635 | 366 |
0.7500 | 0.9405 | 0.0203 | 23019 | 477 |
0.7000 | 0.9520 | 0.0245 | 23301 | 584 |
0.6500 | 0.9595 | 0.0278 | 23483 | 671 |
0.6000 | 0.9660 | 0.0314 | 23642 | 765 |
0.5500 | 0.9705 | 0.0345 | 23754 | 848 |
0.5000 | 0.9741 | 0.0374 | 23841 | 927 |
0.4500 | 0.9772 | 0.0406 | 23918 | 1011 |
0.4000 | 0.9802 | 0.0442 | 23991 | 1110 |
0.3500 | 0.9833 | 0.0488 | 24067 | 1236 |
0.3000 | 0.9857 | 0.0533 | 24126 | 1358 |
0.2500 | 0.9881 | 0.0587 | 24183 | 1509 |
0.2000 | 0.9903 | 0.0656 | 24238 | 1701 |
0.1500 | 0.9929 | 0.0762 | 24301 | 2004 |
0.1000 | 0.9955 | 0.0916 | 24365 | 2458 |
0.0500 | 0.9979 | 0.1161 | 24423 | 3208 |
0.0000 | 1.0000 | 0.4653 | 24475 | 21301 |
+3 only | ||||
0.9999 | 0.5813 | 0.0000 | 9341 | 0 |
0.9990 | 0.6524 | 0.0001 | 10484 | 1 |
0.9900 | 0.7443 | 0.0006 | 11961 | 7 |
0.9800 | 0.7753 | 0.0011 | 12459 | 14 |
0.9500 | 0.8220 | 0.0030 | 13209 | 40 |
0.9000 | 0.8612 | 0.0065 | 13840 | 90 |
0.8500 | 0.8857 | 0.0101 | 14233 | 146 |
0.8000 | 0.9065 | 0.0146 | 14567 | 216 |
0.7500 | 0.9233 | 0.0194 | 14838 | 294 |
0.7000 | 0.9394 | 0.0254 | 15097 | 393 |
0.6500 | 0.9470 | 0.0288 | 15219 | 452 |
0.6000 | 0.9527 | 0.0320 | 15310 | 506 |
0.5500 | 0.9583 | 0.0359 | 15399 | 573 |
0.5000 | 0.9634 | 0.0401 | 15481 | 647 |
0.4500 | 0.9679 | 0.0447 | 15555 | 728 |
0.4000 | 0.9722 | 0.0499 | 15624 | 821 |
0.3500 | 0.9754 | 0.0547 | 15675 | 906 |
0.3000 | 0.9791 | 0.0615 | 15734 | 1031 |
0.2500 | 0.9832 | 0.0708 | 15799 | 1205 |
0.2000 | 0.9870 | 0.0821 | 15861 | 1418 |
0.1500 | 0.9908 | 0.0969 | 15922 | 1709 |
0.1000 | 0.9937 | 0.1131 | 15968 | 2037 |
0.0500 | 0.9967 | 0.1423 | 16017 | 2658 |
0.0000 | 1.0000 | 0.5715 | 16070 | 21437 |
+4 only | ||||
0.9999 | 0.5029 | 0.0000 | 1569 | 0 |
0.9990 | 0.6086 | 0.0001 | 1899 | 0 |
0.9900 | 0.7245 | 0.0007 | 2260 | 2 |
0.9800 | 0.7618 | 0.0014 | 2377 | 3 |
0.9500 | 0.8114 | 0.0033 | 2532 | 8 |
0.9000 | 0.8503 | 0.0068 | 2653 | 18 |
0.8500 | 0.8784 | 0.0109 | 2741 | 30 |
0.8000 | 0.8985 | 0.0153 | 2803 | 44 |
0.7500 | 0.9115 | 0.0190 | 2844 | 55 |
0.7000 | 0.9250 | 0.0240 | 2886 | 71 |
0.6500 | 0.9354 | 0.0288 | 2918 | 87 |
0.6000 | 0.9448 | 0.0341 | 2948 | 104 |
0.5500 | 0.9502 | 0.0377 | 2965 | 116 |
0.5000 | 0.9561 | 0.0427 | 2983 | 133 |
0.4500 | 0.9617 | 0.0483 | 3001 | 152 |
0.4000 | 0.9672 | 0.0549 | 3018 | 175 |
0.3500 | 0.9718 | 0.0616 | 3032 | 199 |
0.3000 | 0.9759 | 0.0691 | 3045 | 226 |
0.2500 | 0.9799 | 0.0780 | 3057 | 259 |
0.2000 | 0.9850 | 0.0924 | 3073 | 313 |
0.1500 | 0.9888 | 0.1069 | 3085 | 369 |
0.1000 | 0.9920 | 0.1242 | 3095 | 439 |
0.0500 | 0.9959 | 0.1611 | 3107 | 597 |
0.0000 | 1.0000 | 0.6443 | 3120 | 5652 |
+5 only | ||||
0.9999 | 0.3179 | 0.0000 | 132 | 0 |
0.9990 | 0.4407 | 0.0001 | 183 | 0 |
0.9900 | 0.5917 | 0.0013 | 246 | 0 |
0.9800 | 0.6462 | 0.0025 | 268 | 1 |
0.9500 | 0.7139 | 0.0053 | 296 | 2 |
0.9000 | 0.7584 | 0.0098 | 315 | 3 |
0.8500 | 0.7984 | 0.0163 | 332 | 5 |
0.8000 | 0.8343 | 0.0242 | 346 | 9 |
0.7500 | 0.8606 | 0.0316 | 357 | 12 |
0.7000 | 0.8797 | 0.0388 | 365 | 15 |
0.6500 | 0.8897 | 0.0430 | 369 | 17 |
0.6000 | 0.9033 | 0.0504 | 375 | 20 |
0.5500 | 0.9144 | 0.0579 | 380 | 23 |
0.5000 | 0.9285 | 0.0688 | 386 | 28 |
0.4500 | 0.9366 | 0.0763 | 389 | 32 |
0.4000 | 0.9396 | 0.0799 | 390 | 34 |
0.3500 | 0.9452 | 0.0873 | 392 | 38 |
0.3000 | 0.9514 | 0.0981 | 395 | 43 |
0.2500 | 0.9634 | 0.1228 | 400 | 56 |
0.2000 | 0.9737 | 0.1489 | 404 | 71 |
0.1500 | 0.9809 | 0.1722 | 407 | 85 |
0.1000 | 0.9872 | 0.2010 | 410 | 103 |
0.0500 | 0.9919 | 0.2373 | 412 | 128 |
0.0000 | 1.0000 | 0.7998 | 415 | 1659 |
Error Table | |||
Error_Rate | min_prob | num_correct | num_incorrect |
---|---|---|---|
0.0000 | 1.0000 | 7856 | 0 |
0.0001 | 0.9985 | 28332 | 3 |
0.0002 | 0.9971 | 29816 | 6 |
0.0003 | 0.9956 | 30714 | 9 |
0.0004 | 0.9941 | 31357 | 13 |
0.0005 | 0.9926 | 31865 | 16 |
0.0006 | 0.9910 | 32282 | 19 |
0.0007 | 0.9895 | 32636 | 23 |
0.0008 | 0.9878 | 32942 | 26 |
0.0009 | 0.9862 | 33211 | 30 |
0.0010 | 0.9846 | 33450 | 34 |
0.0015 | 0.9773 | 34395 | 52 |
0.0020 | 0.9701 | 35090 | 70 |
0.0025 | 0.9625 | 35638 | 89 |
0.0030 | 0.9553 | 36089 | 109 |
0.0040 | 0.9411 | 36810 | 148 |
0.0050 | 0.9262 | 37375 | 188 |
0.0060 | 0.9137 | 37843 | 229 |
0.0070 | 0.9006 | 38246 | 270 |
0.0080 | 0.8876 | 38598 | 311 |
0.0090 | 0.8733 | 38909 | 353 |
0.0100 | 0.8603 | 39185 | 396 |
0.0150 | 0.8043 | 40271 | 614 |
0.0200 | 0.7500 | 41059 | 838 |
0.0250 | 0.6990 | 41661 | 1069 |
0.0300 | 0.6275 | 42128 | 1303 |
0.0400 | 0.4871 | 42736 | 1782 |
0.0500 | 0.3728 | 43104 | 2270 |
0.0750 | 0.1970 | 43584 | 3535 |
0.1000 | 0.1081 | 43819 | 4870 |
+2 only | |||
0.0000 | 1.0000 | 4337 | 0 |
0.0001 | 0.9987 | 15397 | 2 |
0.0002 | 0.9973 | 16279 | 3 |
0.0003 | 0.9960 | 16815 | 5 |
0.0004 | 0.9946 | 17206 | 7 |
0.0005 | 0.9933 | 17517 | 9 |
0.0006 | 0.9920 | 17774 | 11 |
0.0007 | 0.9906 | 17995 | 13 |
0.0008 | 0.9890 | 18185 | 15 |
0.0009 | 0.9874 | 18350 | 17 |
0.0010 | 0.9858 | 18496 | 19 |
0.0015 | 0.9788 | 19062 | 29 |
0.0020 | 0.9724 | 19479 | 39 |
0.0025 | 0.9650 | 19809 | 50 |
0.0030 | 0.9584 | 20080 | 60 |
0.0040 | 0.9442 | 20511 | 82 |
0.0050 | 0.9302 | 20848 | 105 |
0.0060 | 0.9183 | 21126 | 128 |
0.0070 | 0.9051 | 21367 | 151 |
0.0080 | 0.8918 | 21574 | 174 |
0.0090 | 0.8781 | 21756 | 198 |
0.0100 | 0.8641 | 21917 | 222 |
0.0150 | 0.8092 | 22545 | 344 |
0.0200 | 0.7529 | 22996 | 470 |
0.0250 | 0.6943 | 23335 | 599 |
0.0300 | 0.6193 | 23587 | 730 |
0.0400 | 0.4605 | 23906 | 997 |
0.0500 | 0.3347 | 24084 | 1269 |
0.0750 | 0.1549 | 24296 | 1971 |
0.1000 | 0.0799 | 24390 | 2711 |
+3 only | |||
0.0000 | 1.0000 | 2911 | 0 |
0.0001 | 0.9982 | 10827 | 1 |
0.0002 | 0.9965 | 11283 | 2 |
0.0003 | 0.9944 | 11551 | 3 |
0.0004 | 0.9926 | 11743 | 5 |
0.0005 | 0.9907 | 11891 | 6 |
0.0006 | 0.9890 | 12017 | 7 |
0.0007 | 0.9872 | 12122 | 9 |
0.0008 | 0.9855 | 12216 | 10 |
0.0009 | 0.9840 | 12300 | 11 |
0.0010 | 0.9820 | 12376 | 12 |
0.0015 | 0.9735 | 12671 | 19 |
0.0020 | 0.9658 | 12889 | 26 |
0.0025 | 0.9572 | 13062 | 33 |
0.0030 | 0.9502 | 13206 | 40 |
0.0040 | 0.9351 | 13440 | 54 |
0.0050 | 0.9191 | 13623 | 69 |
0.0060 | 0.9056 | 13777 | 83 |
0.0070 | 0.8928 | 13910 | 98 |
0.0080 | 0.8787 | 14028 | 113 |
0.0090 | 0.8649 | 14131 | 129 |
0.0100 | 0.8519 | 14224 | 144 |
0.0150 | 0.7947 | 14594 | 222 |
0.0200 | 0.7435 | 14866 | 304 |
0.0250 | 0.7031 | 15082 | 387 |
0.0300 | 0.6315 | 15256 | 472 |
0.0400 | 0.5017 | 15480 | 646 |
0.0500 | 0.3997 | 15625 | 823 |
0.0750 | 0.2296 | 15824 | 1284 |
0.1000 | 0.1403 | 15933 | 1771 |
+4 only | |||
0.0000 | 1.0000 | 537 | 0 |
0.0001 | 0.9989 | 1909 | 0 |
0.0002 | 0.9976 | 2039 | 0 |
0.0003 | 0.9964 | 2115 | 1 |
0.0004 | 0.9951 | 2170 | 1 |
0.0005 | 0.9930 | 2211 | 1 |
0.0006 | 0.9913 | 2241 | 1 |
0.0007 | 0.9896 | 2266 | 2 |
0.0008 | 0.9879 | 2288 | 2 |
0.0009 | 0.9870 | 2307 | 2 |
0.0010 | 0.9855 | 2325 | 2 |
0.0015 | 0.9786 | 2394 | 4 |
0.0020 | 0.9707 | 2444 | 5 |
0.0025 | 0.9624 | 2483 | 6 |
0.0030 | 0.9549 | 2514 | 8 |
0.0040 | 0.9393 | 2564 | 10 |
0.0050 | 0.9244 | 2602 | 13 |
0.0060 | 0.9092 | 2633 | 16 |
0.0070 | 0.8972 | 2660 | 19 |
0.0080 | 0.8869 | 2683 | 22 |
0.0090 | 0.8765 | 2705 | 25 |
0.0100 | 0.8631 | 2725 | 28 |
0.0150 | 0.8053 | 2800 | 43 |
0.0200 | 0.7370 | 2854 | 59 |
0.0250 | 0.6911 | 2894 | 75 |
0.0300 | 0.6396 | 2927 | 91 |
0.0400 | 0.5241 | 2974 | 125 |
0.0500 | 0.4371 | 3006 | 159 |
0.0750 | 0.2702 | 3054 | 249 |
0.1000 | 0.1679 | 3080 | 344 |
+5 only | |||
0.0000 | 1.0000 | 77 | 0 |
0.0001 | 0.9993 | 174 | 0 |
0.0002 | 0.9985 | 194 | 0 |
0.0003 | 0.9975 | 206 | 0 |
0.0004 | 0.9963 | 214 | 0 |
0.0005 | 0.9955 | 220 | 0 |
0.0006 | 0.9945 | 225 | 0 |
0.0007 | 0.9938 | 229 | 0 |
0.0008 | 0.9928 | 233 | 0 |
0.0009 | 0.9916 | 237 | 0 |
0.0010 | 0.9913 | 240 | 0 |
0.0015 | 0.9859 | 253 | 0 |
0.0020 | 0.9829 | 261 | 1 |
0.0025 | 0.9805 | 269 | 1 |
0.0030 | 0.9765 | 277 | 1 |
0.0040 | 0.9659 | 288 | 1 |
0.0050 | 0.9564 | 296 | 2 |
0.0060 | 0.9350 | 302 | 2 |
0.0070 | 0.9257 | 306 | 2 |
0.0080 | 0.9156 | 310 | 3 |
0.0090 | 0.9041 | 314 | 3 |
0.0100 | 0.8991 | 317 | 3 |
0.0150 | 0.8584 | 330 | 5 |
0.0200 | 0.8305 | 341 | 7 |
0.0250 | 0.7936 | 349 | 9 |
0.0300 | 0.7674 | 357 | 11 |
0.0400 | 0.6975 | 367 | 16 |
0.0500 | 0.6096 | 376 | 20 |
0.0750 | 0.4698 | 389 | 32 |
0.1000 | 0.2878 | 396 | 45 |
peptideprophet | |
---|---|
time | 2017-02-20T13:01:44 |
author | AKeller@ISB |
est_tot_num_correct | 44080.1 |
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_19.pep.xml |
database_refresh | |
time | 2017-02-20T13:01:33 |
interact | |
time | 2017-02-20T13:00:52 |
directory | /home/sean/Documents/proteome |
filename | /home/sean/Documents/proteome/interact-20161205_Sample_19.pep.xml |
directory | /home/sean/Documents/proteome |
inputfile | 20161205_Sample_19.pep.xml |
tpp_models | |
time | Mon Feb 20 13:04:13 2017 |