+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 | 0.010845 |
pos_bandwidth | 0.010845 |
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 | 21001.4 |
num_iterations | 26 |
prior_probability | 0.587 |
tot_num_spectra | 49592 |
Comet discrim score [fval] negmean: -2.02 | |
pos model | gaussian (mean 2.82, stdev 2.11) |
neg model | gaussian (mean -0.97, stdev 1.05) |
no. tolerable trypsin term. [ntt] | |
pos model | (ntt=0 0.000, ntt=1 0.001, ntt=2 0.999) |
neg model | (ntt=0 0.001, ntt=1 0.021, ntt=2 0.978) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.932, 1<=nmc<=2 0.068, nmc>=3 0.000) |
neg model | (nmc=0 0.491, 1<=nmc<=2 0.507, nmc>=3 0.002) |
Accurate Mass Model | |
neg_bandwidth | 0.010845 |
pos_bandwidth | 0.010845 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.033, 0 0.859, 1 0.101, 2 0.007, 3 0.000) |
neg model | (-3 0.000, -2 0.000, -1 0.295, 0 0.327, 1 0.163, 2 0.117, 3 0.099) |
+3 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 11787.5 |
num_iterations | 26 |
prior_probability | 0.518 |
tot_num_spectra | 33069 |
Comet discrim score [fval] negmean: -1.65 | |
pos model | gaussian (mean 4.03, stdev 2.49) |
neg model | gaussian (mean -0.56, 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 0.816, 1<=nmc<=2 0.184, nmc>=3 0.000) |
neg model | (nmc=0 0.283, 1<=nmc<=2 0.708, nmc>=3 0.009) |
Accurate Mass Model | |
neg_bandwidth | 0.010845 |
pos_bandwidth | 0.010845 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.020, 0 0.789, 1 0.145, 2 0.041, 3 0.006) |
neg model | (-3 0.000, -2 0.000, -1 0.236, 0 0.220, 1 0.200, 2 0.176, 3 0.168) |
+4 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 2095.3 |
num_iterations | 27 |
prior_probability | 0.458 |
tot_num_spectra | 6949 |
Comet discrim score [fval] negmean: -2.07 | |
pos model | gaussian (mean 1.93, stdev 1.54) |
neg model | gaussian (mean -1.22, stdev 0.85) |
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 0.658, 1<=nmc<=2 0.342, nmc>=3 0.000) |
neg model | (nmc=0 0.185, 1<=nmc<=2 0.797, nmc>=3 0.018) |
Accurate Mass Model | |
neg_bandwidth | 0.010845 |
pos_bandwidth | 0.010845 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.013, 0 0.811, 1 0.140, 2 0.031, 3 0.005) |
neg model | (-3 0.000, -2 0.000, -1 0.219, 0 0.212, 1 0.203, 2 0.193, 3 0.173) |
+5 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 251.6 |
num_iterations | 27 |
prior_probability | 0.254 |
tot_num_spectra | 1762 |
Comet discrim score [fval] negmean: -2.93 | |
pos model | gaussian (mean 1.86, stdev 1.44) |
neg model | gaussian (mean -1.78, 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 0.025, ntt=2 0.975) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.525, 1<=nmc<=2 0.475, nmc>=3 0.000) |
neg model | (nmc=0 0.154, 1<=nmc<=2 0.823, nmc>=3 0.023) |
Accurate Mass Model | |
neg_bandwidth | 0.010845 |
pos_bandwidth | 0.010845 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.007, 0 0.825, 1 0.165, 2 0.002, 3 0.001) |
neg model | (-3 0.000, -2 0.000, -1 0.225, 0 0.175, 1 0.207, 2 0.212, 3 0.180) |
+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 | 0.010845 |
pos_bandwidth | 0.010845 |
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 | 0.010845 |
pos_bandwidth | 0.010845 |
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_44A | |
---|---|
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_44A |
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 | 2017-02-20T14:13:06 (id: 1) |
database_refresh | 2017-02-20T14:12:55 (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 | 0.5154 | 0.0000 | 18108 | 0 |
0.9990 | 0.6024 | 0.0001 | 21164 | 2 |
0.9900 | 0.7077 | 0.0007 | 24865 | 17 |
0.9800 | 0.7437 | 0.0013 | 26132 | 35 |
0.9500 | 0.7974 | 0.0036 | 28016 | 100 |
0.9000 | 0.8415 | 0.0075 | 29565 | 223 |
0.8500 | 0.8706 | 0.0118 | 30589 | 366 |
0.8000 | 0.8919 | 0.0165 | 31336 | 524 |
0.7500 | 0.9088 | 0.0213 | 31932 | 696 |
0.7000 | 0.9245 | 0.0271 | 32484 | 905 |
0.6500 | 0.9380 | 0.0332 | 32957 | 1132 |
0.6000 | 0.9483 | 0.0388 | 33318 | 1345 |
0.5500 | 0.9550 | 0.0434 | 33554 | 1521 |
0.5000 | 0.9606 | 0.0479 | 33752 | 1698 |
0.4500 | 0.9652 | 0.0524 | 33913 | 1877 |
0.4000 | 0.9693 | 0.0574 | 34057 | 2072 |
0.3500 | 0.9734 | 0.0634 | 34202 | 2316 |
0.3000 | 0.9770 | 0.0698 | 34327 | 2575 |
0.2500 | 0.9809 | 0.0786 | 34464 | 2939 |
0.2000 | 0.9845 | 0.0890 | 34592 | 3378 |
0.1500 | 0.9883 | 0.1037 | 34725 | 4019 |
0.1000 | 0.9924 | 0.1261 | 34870 | 5033 |
0.0500 | 0.9961 | 0.1605 | 34998 | 6690 |
0.0000 | 1.0000 | 0.6155 | 35136 | 56236 |
+2 only | ||||
0.9999 | 0.4912 | 0.0000 | 10316 | 0 |
0.9990 | 0.5840 | 0.0001 | 12265 | 1 |
0.9900 | 0.6972 | 0.0007 | 14642 | 11 |
0.9800 | 0.7353 | 0.0015 | 15441 | 23 |
0.9500 | 0.7932 | 0.0039 | 16659 | 65 |
0.9000 | 0.8405 | 0.0080 | 17653 | 142 |
0.8500 | 0.8710 | 0.0125 | 18291 | 232 |
0.8000 | 0.8930 | 0.0173 | 18754 | 330 |
0.7500 | 0.9105 | 0.0223 | 19123 | 436 |
0.7000 | 0.9270 | 0.0283 | 19467 | 567 |
0.6500 | 0.9404 | 0.0343 | 19749 | 701 |
0.6000 | 0.9513 | 0.0402 | 19978 | 836 |
0.5500 | 0.9586 | 0.0451 | 20132 | 951 |
0.5000 | 0.9642 | 0.0496 | 20249 | 1056 |
0.4500 | 0.9683 | 0.0536 | 20337 | 1152 |
0.4000 | 0.9721 | 0.0582 | 20416 | 1261 |
0.3500 | 0.9758 | 0.0635 | 20493 | 1390 |
0.3000 | 0.9790 | 0.0693 | 20561 | 1530 |
0.2500 | 0.9825 | 0.0771 | 20634 | 1725 |
0.2000 | 0.9857 | 0.0863 | 20701 | 1954 |
0.1500 | 0.9891 | 0.0997 | 20773 | 2300 |
0.1000 | 0.9930 | 0.1212 | 20854 | 2876 |
0.0500 | 0.9965 | 0.1542 | 20927 | 3815 |
0.0000 | 1.0000 | 0.5765 | 21001 | 28591 |
+3 only | ||||
0.9999 | 0.5692 | 0.0000 | 6710 | 0 |
0.9990 | 0.6419 | 0.0001 | 7567 | 0 |
0.9900 | 0.7305 | 0.0005 | 8611 | 5 |
0.9800 | 0.7617 | 0.0011 | 8978 | 10 |
0.9500 | 0.8069 | 0.0030 | 9511 | 29 |
0.9000 | 0.8456 | 0.0065 | 9967 | 65 |
0.8500 | 0.8723 | 0.0105 | 10282 | 109 |
0.8000 | 0.8925 | 0.0149 | 10520 | 159 |
0.7500 | 0.9080 | 0.0194 | 10703 | 212 |
0.7000 | 0.9233 | 0.0251 | 10884 | 280 |
0.6500 | 0.9372 | 0.0315 | 11047 | 360 |
0.6000 | 0.9467 | 0.0367 | 11159 | 425 |
0.5500 | 0.9523 | 0.0406 | 11225 | 475 |
0.5000 | 0.9577 | 0.0450 | 11289 | 532 |
0.4500 | 0.9626 | 0.0499 | 11346 | 596 |
0.4000 | 0.9667 | 0.0549 | 11396 | 662 |
0.3500 | 0.9713 | 0.0616 | 11449 | 751 |
0.3000 | 0.9749 | 0.0682 | 11492 | 841 |
0.2500 | 0.9792 | 0.0778 | 11542 | 973 |
0.2000 | 0.9833 | 0.0895 | 11590 | 1140 |
0.1500 | 0.9875 | 0.1060 | 11640 | 1381 |
0.1000 | 0.9918 | 0.1289 | 11691 | 1730 |
0.0500 | 0.9956 | 0.1650 | 11736 | 2319 |
0.0000 | 1.0000 | 0.6435 | 11788 | 21281 |
+4 only | ||||
0.9999 | 0.4820 | 0.0000 | 1010 | 0 |
0.9990 | 0.5817 | 0.0001 | 1219 | 0 |
0.9900 | 0.7001 | 0.0007 | 1467 | 1 |
0.9800 | 0.7396 | 0.0015 | 1550 | 2 |
0.9500 | 0.7955 | 0.0037 | 1667 | 6 |
0.9000 | 0.8370 | 0.0075 | 1754 | 13 |
0.8500 | 0.8671 | 0.0121 | 1817 | 22 |
0.8000 | 0.8856 | 0.0161 | 1856 | 30 |
0.7500 | 0.9049 | 0.0217 | 1896 | 42 |
0.7000 | 0.9163 | 0.0259 | 1920 | 51 |
0.6500 | 0.9276 | 0.0311 | 1944 | 62 |
0.6000 | 0.9353 | 0.0355 | 1960 | 72 |
0.5500 | 0.9408 | 0.0393 | 1971 | 81 |
0.5000 | 0.9474 | 0.0448 | 1985 | 93 |
0.4500 | 0.9539 | 0.0514 | 1999 | 108 |
0.4000 | 0.9598 | 0.0585 | 2011 | 125 |
0.3500 | 0.9662 | 0.0679 | 2025 | 147 |
0.3000 | 0.9713 | 0.0770 | 2035 | 170 |
0.2500 | 0.9766 | 0.0890 | 2046 | 200 |
0.2000 | 0.9815 | 0.1027 | 2057 | 235 |
0.1500 | 0.9861 | 0.1197 | 2066 | 281 |
0.1000 | 0.9911 | 0.1461 | 2077 | 355 |
0.0500 | 0.9950 | 0.1815 | 2085 | 462 |
0.0000 | 1.0000 | 0.6985 | 2095 | 4854 |
+5 only | ||||
0.9999 | 0.2862 | 0.0000 | 72 | 0 |
0.9990 | 0.4530 | 0.0002 | 114 | 0 |
0.9900 | 0.5756 | 0.0013 | 145 | 0 |
0.9800 | 0.6461 | 0.0028 | 163 | 0 |
0.9500 | 0.7075 | 0.0056 | 178 | 1 |
0.9000 | 0.7629 | 0.0107 | 192 | 2 |
0.8500 | 0.7906 | 0.0153 | 199 | 3 |
0.8000 | 0.8200 | 0.0223 | 206 | 5 |
0.7500 | 0.8354 | 0.0270 | 210 | 6 |
0.7000 | 0.8470 | 0.0314 | 213 | 7 |
0.6500 | 0.8632 | 0.0390 | 217 | 9 |
0.6000 | 0.8805 | 0.0492 | 222 | 11 |
0.5500 | 0.8965 | 0.0602 | 226 | 14 |
0.5000 | 0.9088 | 0.0706 | 229 | 17 |
0.4500 | 0.9201 | 0.0814 | 231 | 21 |
0.4000 | 0.9303 | 0.0928 | 234 | 24 |
0.3500 | 0.9377 | 0.1030 | 236 | 27 |
0.3000 | 0.9506 | 0.1239 | 239 | 34 |
0.2500 | 0.9616 | 0.1451 | 242 | 41 |
0.2000 | 0.9707 | 0.1665 | 244 | 49 |
0.1500 | 0.9776 | 0.1883 | 246 | 57 |
0.1000 | 0.9860 | 0.2248 | 248 | 72 |
0.0500 | 0.9927 | 0.2740 | 250 | 94 |
0.0000 | 1.0000 | 0.8572 | 252 | 1510 |
Error Table | |||
Error_Rate | min_prob | num_correct | num_incorrect |
---|---|---|---|
0.0000 | 1.0000 | 6344 | 0 |
0.0001 | 0.9986 | 21603 | 2 |
0.0002 | 0.9971 | 22779 | 5 |
0.0003 | 0.9956 | 23463 | 7 |
0.0004 | 0.9941 | 23957 | 10 |
0.0005 | 0.9926 | 24348 | 12 |
0.0006 | 0.9911 | 24668 | 15 |
0.0007 | 0.9894 | 24941 | 17 |
0.0008 | 0.9879 | 25175 | 20 |
0.0009 | 0.9866 | 25384 | 23 |
0.0010 | 0.9853 | 25577 | 26 |
0.0015 | 0.9776 | 26328 | 40 |
0.0020 | 0.9704 | 26868 | 54 |
0.0025 | 0.9639 | 27297 | 68 |
0.0030 | 0.9577 | 27660 | 83 |
0.0040 | 0.9446 | 28249 | 114 |
0.0050 | 0.9311 | 28716 | 144 |
0.0060 | 0.9180 | 29099 | 176 |
0.0070 | 0.9051 | 29427 | 208 |
0.0080 | 0.8942 | 29716 | 240 |
0.0090 | 0.8838 | 29978 | 272 |
0.0100 | 0.8708 | 30214 | 305 |
0.0150 | 0.8143 | 31128 | 474 |
0.0200 | 0.7632 | 31784 | 649 |
0.0250 | 0.7189 | 32297 | 829 |
0.0300 | 0.6779 | 32722 | 1012 |
0.0400 | 0.5859 | 33385 | 1392 |
0.0500 | 0.4748 | 33831 | 1781 |
0.0750 | 0.2680 | 34413 | 2791 |
0.1000 | 0.1608 | 34696 | 3856 |
+2 only | |||
0.0000 | 1.0000 | 3744 | 0 |
0.0001 | 0.9988 | 12442 | 1 |
0.0002 | 0.9974 | 13201 | 3 |
0.0003 | 0.9959 | 13644 | 4 |
0.0004 | 0.9946 | 13959 | 6 |
0.0005 | 0.9932 | 14210 | 7 |
0.0006 | 0.9918 | 14415 | 9 |
0.0007 | 0.9904 | 14591 | 10 |
0.0008 | 0.9889 | 14742 | 12 |
0.0009 | 0.9875 | 14876 | 13 |
0.0010 | 0.9863 | 14998 | 15 |
0.0015 | 0.9793 | 15478 | 23 |
0.0020 | 0.9727 | 15822 | 32 |
0.0025 | 0.9663 | 16095 | 40 |
0.0030 | 0.9605 | 16327 | 49 |
0.0040 | 0.9481 | 16705 | 67 |
0.0050 | 0.9363 | 17006 | 86 |
0.0060 | 0.9238 | 17258 | 104 |
0.0070 | 0.9115 | 17470 | 123 |
0.0080 | 0.8999 | 17654 | 143 |
0.0090 | 0.8894 | 17820 | 162 |
0.0100 | 0.8798 | 17970 | 182 |
0.0150 | 0.8229 | 18552 | 283 |
0.0200 | 0.7730 | 18967 | 387 |
0.0250 | 0.7282 | 19289 | 495 |
0.0300 | 0.6880 | 19555 | 605 |
0.0400 | 0.6014 | 19972 | 833 |
0.0500 | 0.4946 | 20260 | 1067 |
0.0750 | 0.2612 | 20617 | 1672 |
0.1000 | 0.1491 | 20775 | 2309 |
+3 only | |||
0.0000 | 1.0000 | 2180 | 0 |
0.0001 | 0.9983 | 7801 | 1 |
0.0002 | 0.9963 | 8128 | 2 |
0.0003 | 0.9945 | 8320 | 3 |
0.0004 | 0.9929 | 8461 | 3 |
0.0005 | 0.9910 | 8572 | 4 |
0.0006 | 0.9888 | 8662 | 5 |
0.0007 | 0.9871 | 8737 | 6 |
0.0008 | 0.9858 | 8805 | 7 |
0.0009 | 0.9842 | 8866 | 8 |
0.0010 | 0.9824 | 8922 | 9 |
0.0015 | 0.9730 | 9134 | 14 |
0.0020 | 0.9648 | 9285 | 19 |
0.0025 | 0.9575 | 9409 | 24 |
0.0030 | 0.9499 | 9514 | 29 |
0.0040 | 0.9332 | 9682 | 39 |
0.0050 | 0.9189 | 9813 | 49 |
0.0060 | 0.9050 | 9923 | 60 |
0.0070 | 0.8946 | 10019 | 71 |
0.0080 | 0.8830 | 10105 | 82 |
0.0090 | 0.8685 | 10182 | 93 |
0.0100 | 0.8551 | 10252 | 104 |
0.0150 | 0.7988 | 10525 | 161 |
0.0200 | 0.7455 | 10723 | 219 |
0.0250 | 0.7019 | 10881 | 280 |
0.0300 | 0.6604 | 11012 | 341 |
0.0400 | 0.5570 | 11217 | 468 |
0.0500 | 0.4485 | 11348 | 598 |
0.0750 | 0.2627 | 11529 | 936 |
0.1000 | 0.1662 | 11624 | 1293 |
+4 only | |||
0.0000 | 1.0000 | 378 | 0 |
0.0001 | 0.9988 | 1235 | 0 |
0.0002 | 0.9974 | 1311 | 0 |
0.0003 | 0.9964 | 1359 | 0 |
0.0004 | 0.9951 | 1394 | 1 |
0.0005 | 0.9939 | 1421 | 1 |
0.0006 | 0.9920 | 1443 | 1 |
0.0007 | 0.9905 | 1461 | 1 |
0.0008 | 0.9891 | 1477 | 1 |
0.0009 | 0.9882 | 1491 | 1 |
0.0010 | 0.9866 | 1502 | 2 |
0.0015 | 0.9796 | 1553 | 2 |
0.0020 | 0.9746 | 1589 | 3 |
0.0025 | 0.9684 | 1618 | 4 |
0.0030 | 0.9597 | 1642 | 5 |
0.0040 | 0.9452 | 1678 | 7 |
0.0050 | 0.9281 | 1705 | 9 |
0.0060 | 0.9167 | 1727 | 11 |
0.0070 | 0.9032 | 1747 | 12 |
0.0080 | 0.8936 | 1764 | 14 |
0.0090 | 0.8832 | 1779 | 16 |
0.0100 | 0.8706 | 1793 | 18 |
0.0150 | 0.8110 | 1848 | 28 |
0.0200 | 0.7656 | 1886 | 39 |
0.0250 | 0.7103 | 1916 | 50 |
0.0300 | 0.6653 | 1940 | 60 |
0.0400 | 0.5434 | 1974 | 83 |
0.0500 | 0.4614 | 1996 | 106 |
0.0750 | 0.3143 | 2033 | 166 |
0.1000 | 0.2093 | 2055 | 229 |
+5 only | |||
0.0000 | 1.0000 | 48 | 0 |
0.0001 | 0.9994 | 101 | 0 |
0.0002 | 0.9985 | 118 | 0 |
0.0003 | 0.9974 | 125 | 0 |
0.0004 | 0.9959 | 129 | 0 |
0.0005 | 0.9940 | 132 | 0 |
0.0006 | 0.9926 | 134 | 0 |
0.0007 | 0.9924 | 136 | 0 |
0.0008 | 0.9919 | 138 | 0 |
0.0009 | 0.9915 | 140 | 0 |
0.0010 | 0.9911 | 142 | 0 |
0.0015 | 0.9884 | 150 | 0 |
0.0020 | 0.9854 | 157 | 0 |
0.0025 | 0.9808 | 162 | 0 |
0.0030 | 0.9758 | 165 | 1 |
0.0040 | 0.9649 | 172 | 1 |
0.0050 | 0.9587 | 177 | 1 |
0.0060 | 0.9427 | 181 | 1 |
0.0070 | 0.9335 | 185 | 1 |
0.0080 | 0.9293 | 187 | 2 |
0.0090 | 0.9137 | 190 | 2 |
0.0100 | 0.9097 | 192 | 2 |
0.0150 | 0.8536 | 200 | 3 |
0.0200 | 0.8069 | 206 | 4 |
0.0250 | 0.7710 | 210 | 6 |
0.0300 | 0.7269 | 213 | 7 |
0.0400 | 0.6461 | 218 | 10 |
0.0500 | 0.5981 | 223 | 12 |
0.0750 | 0.4743 | 231 | 19 |
0.1000 | 0.3695 | 236 | 27 |
peptideprophet | |
---|---|
time | 2017-02-20T14:13:06 |
author | AKeller@ISB |
est_tot_num_correct | 35135.7 |
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_44A.pep.xml |
database_refresh | |
time | 2017-02-20T14:12:55 |
interact | |
time | 2017-02-20T14:12:14 |
directory | /home/sean/Documents/proteome |
filename | /home/sean/Documents/proteome/interact-20161205_Sample_44A.pep.xml |
directory | /home/sean/Documents/proteome |
inputfile | 20161205_Sample_44A.pep.xml |
tpp_models | |
time | Mon Feb 20 14:15:10 2017 |