+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 | 0.010839 |
pos_bandwidth | 0.010839 |
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 | 20999.3 |
num_iterations | 27 |
prior_probability | 0.569 |
tot_num_spectra | 51809 |
Comet discrim score [fval] negmean: -1.99 | |
pos model | gaussian (mean 2.84, stdev 2.11) |
neg model | gaussian (mean -0.98, stdev 1.01) |
no. tolerable trypsin term. [ntt] | |
pos model | (ntt=0 0.000, ntt=1 0.001, ntt=2 0.999) |
neg model | (ntt=0 0.000, ntt=1 0.023, ntt=2 0.977) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.930, 1<=nmc<=2 0.070, nmc>=3 0.000) |
neg model | (nmc=0 0.485, 1<=nmc<=2 0.513, nmc>=3 0.002) |
Accurate Mass Model | |
neg_bandwidth | 0.010839 |
pos_bandwidth | 0.010839 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.035, 0 0.849, 1 0.107, 2 0.008, 3 0.000) |
neg model | (-3 0.000, -2 0.000, -1 0.296, 0 0.327, 1 0.161, 2 0.120, 3 0.096) |
+3 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 11498.1 |
num_iterations | 26 |
prior_probability | 0.504 |
tot_num_spectra | 34018 |
Comet discrim score [fval] negmean: -1.64 | |
pos model | gaussian (mean 4.02, stdev 2.47) |
neg model | gaussian (mean -0.56, 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 0.809, 1<=nmc<=2 0.191, nmc>=3 0.000) |
neg model | (nmc=0 0.276, 1<=nmc<=2 0.715, nmc>=3 0.009) |
Accurate Mass Model | |
neg_bandwidth | 0.010839 |
pos_bandwidth | 0.010839 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.022, 0 0.780, 1 0.148, 2 0.044, 3 0.006) |
neg model | (-3 0.000, -2 0.000, -1 0.233, 0 0.231, 1 0.199, 2 0.175, 3 0.162) |
+4 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 2029.1 |
num_iterations | 28 |
prior_probability | 0.444 |
tot_num_spectra | 7035 |
Comet discrim score [fval] negmean: -2.04 | |
pos model | gaussian (mean 1.91, stdev 1.50) |
neg model | gaussian (mean -1.23, stdev 0.81) |
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 0.636, 1<=nmc<=2 0.364, nmc>=3 0.000) |
neg model | (nmc=0 0.191, 1<=nmc<=2 0.790, nmc>=3 0.019) |
Accurate Mass Model | |
neg_bandwidth | 0.010839 |
pos_bandwidth | 0.010839 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.022, 0 0.786, 1 0.148, 2 0.040, 3 0.004) |
neg model | (-3 0.000, -2 0.000, -1 0.230, 0 0.220, 1 0.211, 2 0.177, 3 0.161) |
+5 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 205.9 |
num_iterations | 27 |
prior_probability | 0.228 |
tot_num_spectra | 1634 |
Comet discrim score [fval] negmean: -2.85 | |
pos model | gaussian (mean 1.90, stdev 1.54) |
neg model | gaussian (mean -1.70, stdev 1.15) |
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 0.036, ntt=2 0.964) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.564, 1<=nmc<=2 0.436, nmc>=3 0.000) |
neg model | (nmc=0 0.156, 1<=nmc<=2 0.817, nmc>=3 0.027) |
Accurate Mass Model | |
neg_bandwidth | 0.010839 |
pos_bandwidth | 0.010839 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.011, 0 0.852, 1 0.119, 2 0.017, 3 0.002) |
neg model | (-3 0.000, -2 0.000, -1 0.227, 0 0.212, 1 0.190, 2 0.178, 3 0.194) |
+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 | 0.010839 |
pos_bandwidth | 0.010839 |
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 | 0.010839 |
pos_bandwidth | 0.010839 |
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_27A | |
---|---|
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_27A |
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 | 2017-02-20T13:24:55 (id: 1) |
database_refresh | 2017-02-20T13:24:43 (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 | 0.5332 | 0.0000 | 18521 | 0 |
0.9990 | 0.6137 | 0.0001 | 21314 | 2 |
0.9900 | 0.7160 | 0.0006 | 24867 | 16 |
0.9800 | 0.7490 | 0.0013 | 26014 | 33 |
0.9500 | 0.7988 | 0.0033 | 27745 | 92 |
0.9000 | 0.8411 | 0.0070 | 29214 | 207 |
0.8500 | 0.8669 | 0.0110 | 30110 | 334 |
0.8000 | 0.8877 | 0.0155 | 30833 | 486 |
0.7500 | 0.9040 | 0.0202 | 31399 | 649 |
0.7000 | 0.9191 | 0.0259 | 31924 | 848 |
0.6500 | 0.9324 | 0.0320 | 32386 | 1070 |
0.6000 | 0.9437 | 0.0383 | 32777 | 1304 |
0.5500 | 0.9511 | 0.0433 | 33034 | 1493 |
0.5000 | 0.9571 | 0.0482 | 33242 | 1682 |
0.4500 | 0.9625 | 0.0535 | 33430 | 1889 |
0.4000 | 0.9672 | 0.0591 | 33593 | 2111 |
0.3500 | 0.9718 | 0.0659 | 33755 | 2380 |
0.3000 | 0.9759 | 0.0731 | 33896 | 2675 |
0.2500 | 0.9795 | 0.0811 | 34021 | 3003 |
0.2000 | 0.9835 | 0.0925 | 34160 | 3483 |
0.1500 | 0.9876 | 0.1080 | 34300 | 4155 |
0.1000 | 0.9918 | 0.1312 | 34447 | 5203 |
0.0500 | 0.9959 | 0.1687 | 34589 | 7021 |
0.0000 | 1.0000 | 0.6324 | 34732 | 59764 |
+2 only | ||||
0.9999 | 0.5179 | 0.0000 | 10876 | 0 |
0.9990 | 0.6006 | 0.0001 | 12612 | 1 |
0.9900 | 0.7092 | 0.0007 | 14892 | 10 |
0.9800 | 0.7435 | 0.0013 | 15612 | 21 |
0.9500 | 0.7961 | 0.0035 | 16717 | 59 |
0.9000 | 0.8410 | 0.0075 | 17661 | 133 |
0.8500 | 0.8672 | 0.0114 | 18211 | 210 |
0.8000 | 0.8891 | 0.0162 | 18670 | 307 |
0.7500 | 0.9065 | 0.0212 | 19035 | 413 |
0.7000 | 0.9224 | 0.0271 | 19370 | 539 |
0.6500 | 0.9353 | 0.0330 | 19641 | 669 |
0.6000 | 0.9467 | 0.0393 | 19879 | 813 |
0.5500 | 0.9547 | 0.0446 | 20047 | 937 |
0.5000 | 0.9607 | 0.0496 | 20175 | 1052 |
0.4500 | 0.9660 | 0.0547 | 20285 | 1174 |
0.4000 | 0.9701 | 0.0595 | 20371 | 1289 |
0.3500 | 0.9740 | 0.0653 | 20453 | 1428 |
0.3000 | 0.9781 | 0.0725 | 20539 | 1607 |
0.2500 | 0.9813 | 0.0796 | 20606 | 1783 |
0.2000 | 0.9848 | 0.0896 | 20679 | 2036 |
0.1500 | 0.9881 | 0.1026 | 20750 | 2371 |
0.1000 | 0.9922 | 0.1251 | 20835 | 2978 |
0.0500 | 0.9963 | 0.1633 | 20921 | 4082 |
0.0000 | 1.0000 | 0.5947 | 20999 | 30810 |
+3 only | ||||
0.9999 | 0.5717 | 0.0000 | 6573 | 0 |
0.9990 | 0.6440 | 0.0001 | 7405 | 0 |
0.9900 | 0.7336 | 0.0005 | 8435 | 5 |
0.9800 | 0.7627 | 0.0011 | 8770 | 9 |
0.9500 | 0.8073 | 0.0029 | 9283 | 27 |
0.9000 | 0.8452 | 0.0063 | 9718 | 62 |
0.8500 | 0.8711 | 0.0102 | 10016 | 104 |
0.8000 | 0.8898 | 0.0143 | 10231 | 149 |
0.7500 | 0.9038 | 0.0184 | 10391 | 195 |
0.7000 | 0.9173 | 0.0235 | 10547 | 254 |
0.6500 | 0.9314 | 0.0301 | 10709 | 332 |
0.6000 | 0.9424 | 0.0362 | 10836 | 407 |
0.5500 | 0.9485 | 0.0404 | 10906 | 460 |
0.5000 | 0.9541 | 0.0450 | 10970 | 517 |
0.4500 | 0.9593 | 0.0502 | 11030 | 583 |
0.4000 | 0.9650 | 0.0572 | 11096 | 673 |
0.3500 | 0.9703 | 0.0650 | 11157 | 775 |
0.3000 | 0.9741 | 0.0717 | 11200 | 865 |
0.2500 | 0.9780 | 0.0804 | 11245 | 983 |
0.2000 | 0.9825 | 0.0935 | 11297 | 1165 |
0.1500 | 0.9874 | 0.1118 | 11353 | 1429 |
0.1000 | 0.9917 | 0.1351 | 11403 | 1782 |
0.0500 | 0.9955 | 0.1705 | 11447 | 2353 |
0.0000 | 1.0000 | 0.6620 | 11498 | 22520 |
+4 only | ||||
0.9999 | 0.4982 | 0.0000 | 1011 | 0 |
0.9990 | 0.5948 | 0.0001 | 1207 | 0 |
0.9900 | 0.7023 | 0.0007 | 1425 | 1 |
0.9800 | 0.7445 | 0.0015 | 1511 | 2 |
0.9500 | 0.7927 | 0.0034 | 1609 | 5 |
0.9000 | 0.8311 | 0.0068 | 1686 | 12 |
0.8500 | 0.8528 | 0.0101 | 1730 | 18 |
0.8000 | 0.8744 | 0.0149 | 1774 | 27 |
0.7500 | 0.8912 | 0.0199 | 1808 | 37 |
0.7000 | 0.9051 | 0.0251 | 1837 | 47 |
0.6500 | 0.9168 | 0.0306 | 1860 | 59 |
0.6000 | 0.9285 | 0.0372 | 1884 | 73 |
0.5500 | 0.9356 | 0.0421 | 1899 | 83 |
0.5000 | 0.9426 | 0.0480 | 1913 | 96 |
0.4500 | 0.9501 | 0.0554 | 1928 | 113 |
0.4000 | 0.9550 | 0.0612 | 1938 | 126 |
0.3500 | 0.9620 | 0.0714 | 1952 | 150 |
0.3000 | 0.9671 | 0.0805 | 1962 | 172 |
0.2500 | 0.9725 | 0.0923 | 1973 | 201 |
0.2000 | 0.9783 | 0.1086 | 1985 | 242 |
0.1500 | 0.9844 | 0.1311 | 1997 | 302 |
0.1000 | 0.9896 | 0.1581 | 2008 | 377 |
0.0500 | 0.9942 | 0.1982 | 2017 | 499 |
0.0000 | 1.0000 | 0.7116 | 2029 | 5006 |
+5 only | ||||
0.9999 | 0.2963 | 0.0000 | 61 | 0 |
0.9990 | 0.4419 | 0.0002 | 91 | 0 |
0.9900 | 0.5581 | 0.0009 | 115 | 0 |
0.9800 | 0.5916 | 0.0017 | 122 | 0 |
0.9500 | 0.6619 | 0.0053 | 136 | 1 |
0.9000 | 0.7163 | 0.0103 | 147 | 2 |
0.8500 | 0.7420 | 0.0144 | 153 | 2 |
0.8000 | 0.7661 | 0.0203 | 158 | 3 |
0.7500 | 0.7965 | 0.0298 | 164 | 5 |
0.7000 | 0.8283 | 0.0420 | 171 | 7 |
0.6500 | 0.8548 | 0.0539 | 176 | 10 |
0.6000 | 0.8638 | 0.0591 | 178 | 11 |
0.5500 | 0.8808 | 0.0701 | 181 | 14 |
0.5000 | 0.8962 | 0.0821 | 185 | 16 |
0.4500 | 0.9080 | 0.0926 | 187 | 19 |
0.4000 | 0.9183 | 0.1040 | 189 | 22 |
0.3500 | 0.9351 | 0.1250 | 193 | 27 |
0.3000 | 0.9448 | 0.1394 | 194 | 32 |
0.2500 | 0.9539 | 0.1571 | 196 | 37 |
0.2000 | 0.9604 | 0.1727 | 198 | 41 |
0.1500 | 0.9720 | 0.2090 | 200 | 53 |
0.1000 | 0.9804 | 0.2440 | 202 | 65 |
0.0500 | 0.9888 | 0.3004 | 204 | 87 |
0.0000 | 1.0000 | 0.8740 | 206 | 1428 |
Error Table | |||
Error_Rate | min_prob | num_correct | num_incorrect |
---|---|---|---|
0.0000 | 1.0000 | 6202 | 0 |
0.0001 | 0.9985 | 21849 | 2 |
0.0002 | 0.9970 | 22946 | 5 |
0.0003 | 0.9954 | 23605 | 7 |
0.0004 | 0.9939 | 24084 | 10 |
0.0005 | 0.9922 | 24460 | 12 |
0.0006 | 0.9906 | 24764 | 15 |
0.0007 | 0.9890 | 25021 | 18 |
0.0008 | 0.9874 | 25247 | 20 |
0.0009 | 0.9857 | 25445 | 23 |
0.0010 | 0.9840 | 25623 | 26 |
0.0015 | 0.9764 | 26319 | 40 |
0.0020 | 0.9688 | 26828 | 54 |
0.0025 | 0.9616 | 27230 | 68 |
0.0030 | 0.9540 | 27562 | 83 |
0.0040 | 0.9407 | 28104 | 113 |
0.0050 | 0.9267 | 28535 | 143 |
0.0060 | 0.9137 | 28893 | 174 |
0.0070 | 0.9006 | 29202 | 206 |
0.0080 | 0.8874 | 29470 | 238 |
0.0090 | 0.8749 | 29709 | 270 |
0.0100 | 0.8625 | 29924 | 302 |
0.0150 | 0.8059 | 30762 | 469 |
0.0200 | 0.7527 | 31374 | 641 |
0.0250 | 0.7075 | 31850 | 817 |
0.0300 | 0.6660 | 32246 | 998 |
0.0400 | 0.5833 | 32873 | 1370 |
0.0500 | 0.4844 | 33311 | 1754 |
0.0750 | 0.2881 | 33928 | 2752 |
0.1000 | 0.1736 | 34233 | 3805 |
+2 only | |||
0.0000 | 1.0000 | 3795 | 0 |
0.0001 | 0.9986 | 12889 | 1 |
0.0002 | 0.9971 | 13587 | 3 |
0.0003 | 0.9957 | 14006 | 4 |
0.0004 | 0.9943 | 14311 | 6 |
0.0005 | 0.9927 | 14552 | 7 |
0.0006 | 0.9912 | 14748 | 9 |
0.0007 | 0.9897 | 14915 | 10 |
0.0008 | 0.9882 | 15058 | 12 |
0.0009 | 0.9865 | 15185 | 14 |
0.0010 | 0.9850 | 15299 | 15 |
0.0015 | 0.9777 | 15741 | 24 |
0.0020 | 0.9702 | 16063 | 32 |
0.0025 | 0.9638 | 16319 | 41 |
0.0030 | 0.9562 | 16532 | 50 |
0.0040 | 0.9442 | 16877 | 68 |
0.0050 | 0.9308 | 17155 | 86 |
0.0060 | 0.9188 | 17384 | 105 |
0.0070 | 0.9056 | 17583 | 124 |
0.0080 | 0.8929 | 17755 | 143 |
0.0090 | 0.8800 | 17906 | 163 |
0.0100 | 0.8679 | 18042 | 182 |
0.0150 | 0.8123 | 18569 | 283 |
0.0200 | 0.7629 | 18956 | 387 |
0.0250 | 0.7178 | 19260 | 494 |
0.0300 | 0.6750 | 19512 | 604 |
0.0400 | 0.5939 | 19904 | 830 |
0.0500 | 0.4969 | 20185 | 1063 |
0.0750 | 0.2820 | 20565 | 1668 |
0.1000 | 0.1579 | 20738 | 2305 |
+3 only | |||
0.0000 | 1.0000 | 2003 | 0 |
0.0001 | 0.9982 | 7644 | 1 |
0.0002 | 0.9965 | 7963 | 2 |
0.0003 | 0.9946 | 8157 | 2 |
0.0004 | 0.9928 | 8297 | 3 |
0.0005 | 0.9904 | 8403 | 4 |
0.0006 | 0.9890 | 8489 | 5 |
0.0007 | 0.9869 | 8563 | 6 |
0.0008 | 0.9850 | 8628 | 7 |
0.0009 | 0.9833 | 8684 | 8 |
0.0010 | 0.9815 | 8735 | 9 |
0.0015 | 0.9728 | 8939 | 13 |
0.0020 | 0.9635 | 9085 | 18 |
0.0025 | 0.9559 | 9202 | 23 |
0.0030 | 0.9481 | 9300 | 28 |
0.0040 | 0.9323 | 9458 | 38 |
0.0050 | 0.9178 | 9585 | 48 |
0.0060 | 0.9049 | 9690 | 59 |
0.0070 | 0.8915 | 9782 | 69 |
0.0080 | 0.8786 | 9863 | 80 |
0.0090 | 0.8661 | 9937 | 90 |
0.0100 | 0.8533 | 10003 | 101 |
0.0150 | 0.7927 | 10262 | 156 |
0.0200 | 0.7337 | 10445 | 214 |
0.0250 | 0.6860 | 10588 | 272 |
0.0300 | 0.6505 | 10708 | 332 |
0.0400 | 0.5542 | 10901 | 455 |
0.0500 | 0.4517 | 11028 | 581 |
0.0750 | 0.2813 | 11219 | 911 |
0.1000 | 0.1799 | 11319 | 1259 |
+4 only | |||
0.0000 | 1.0000 | 369 | 0 |
0.0001 | 0.9987 | 1222 | 0 |
0.0002 | 0.9972 | 1292 | 0 |
0.0003 | 0.9959 | 1334 | 0 |
0.0004 | 0.9944 | 1363 | 1 |
0.0005 | 0.9933 | 1387 | 1 |
0.0006 | 0.9916 | 1407 | 1 |
0.0007 | 0.9903 | 1424 | 1 |
0.0008 | 0.9891 | 1439 | 1 |
0.0009 | 0.9881 | 1452 | 1 |
0.0010 | 0.9869 | 1465 | 1 |
0.0015 | 0.9801 | 1512 | 2 |
0.0020 | 0.9737 | 1548 | 3 |
0.0025 | 0.9674 | 1575 | 4 |
0.0030 | 0.9574 | 1597 | 5 |
0.0040 | 0.9408 | 1628 | 7 |
0.0050 | 0.9262 | 1654 | 8 |
0.0060 | 0.9116 | 1674 | 10 |
0.0070 | 0.8969 | 1691 | 12 |
0.0080 | 0.8813 | 1706 | 14 |
0.0090 | 0.8736 | 1719 | 16 |
0.0100 | 0.8550 | 1730 | 18 |
0.0150 | 0.7963 | 1777 | 27 |
0.0200 | 0.7481 | 1811 | 37 |
0.0250 | 0.7013 | 1837 | 48 |
0.0300 | 0.6512 | 1859 | 58 |
0.0400 | 0.5707 | 1894 | 79 |
0.0500 | 0.4911 | 1918 | 101 |
0.0750 | 0.3258 | 1957 | 159 |
0.1000 | 0.2250 | 1980 | 221 |
+5 only | |||
0.0000 | 1.0000 | 41 | 0 |
0.0001 | 0.9993 | 82 | 0 |
0.0002 | 0.9988 | 94 | 0 |
0.0003 | 0.9980 | 101 | 0 |
0.0004 | 0.9967 | 106 | 0 |
0.0005 | 0.9961 | 109 | 0 |
0.0006 | 0.9944 | 112 | 0 |
0.0007 | 0.9916 | 114 | 0 |
0.0008 | 0.9916 | 115 | 0 |
0.0009 | 0.9894 | 117 | 0 |
0.0010 | 0.9878 | 118 | 0 |
0.0015 | 0.9826 | 122 | 0 |
0.0020 | 0.9752 | 126 | 0 |
0.0025 | 0.9727 | 128 | 0 |
0.0030 | 0.9679 | 131 | 0 |
0.0040 | 0.9566 | 133 | 1 |
0.0050 | 0.9503 | 137 | 1 |
0.0060 | 0.9478 | 140 | 1 |
0.0070 | 0.9397 | 143 | 1 |
0.0080 | 0.9248 | 145 | 1 |
0.0090 | 0.9113 | 147 | 1 |
0.0100 | 0.9063 | 148 | 2 |
0.0150 | 0.8468 | 154 | 3 |
0.0200 | 0.8001 | 159 | 3 |
0.0250 | 0.7788 | 162 | 5 |
0.0300 | 0.7490 | 165 | 6 |
0.0400 | 0.7130 | 171 | 7 |
0.0500 | 0.6806 | 175 | 10 |
0.0750 | 0.5260 | 183 | 16 |
0.1000 | 0.4161 | 189 | 22 |
peptideprophet | |
---|---|
time | 2017-02-20T13:24:55 |
author | AKeller@ISB |
est_tot_num_correct | 34732.4 |
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_27A.pep.xml |
database_refresh | |
time | 2017-02-20T13:24:43 |
interact | |
time | 2017-02-20T13:24:01 |
directory | /home/sean/Documents/proteome |
filename | /home/sean/Documents/proteome/interact-20161205_Sample_27A.pep.xml |
directory | /home/sean/Documents/proteome |
inputfile | 20161205_Sample_27A.pep.xml |
tpp_models | |
time | Mon Feb 20 13:27:02 2017 |