+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 | 0.010911 |
pos_bandwidth | 0.010911 |
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 | 22175.7 |
num_iterations | 26 |
prior_probability | 0.612 |
tot_num_spectra | 49269 |
Comet discrim score [fval] negmean: -2.05 | |
pos model | gaussian (mean 2.83, stdev 2.12) |
neg model | gaussian (mean -0.99, stdev 1.06) |
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 0.020, ntt=2 0.980) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.936, 1<=nmc<=2 0.064, nmc>=3 0.000) |
neg model | (nmc=0 0.489, 1<=nmc<=2 0.509, nmc>=3 0.002) |
Accurate Mass Model | |
neg_bandwidth | 0.010911 |
pos_bandwidth | 0.010911 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.034, 0 0.851, 1 0.106, 2 0.009, 3 0.000) |
neg model | (-3 0.000, -2 0.000, -1 0.302, 0 0.317, 1 0.167, 2 0.117, 3 0.098) |
+3 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 13066.4 |
num_iterations | 26 |
prior_probability | 0.541 |
tot_num_spectra | 34959 |
Comet discrim score [fval] negmean: -1.63 | |
pos model | gaussian (mean 4.00, stdev 2.47) |
neg model | gaussian (mean -0.57, stdev 1.06) |
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 0.822, 1<=nmc<=2 0.178, nmc>=3 0.000) |
neg model | (nmc=0 0.281, 1<=nmc<=2 0.709, nmc>=3 0.010) |
Accurate Mass Model | |
neg_bandwidth | 0.010911 |
pos_bandwidth | 0.010911 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.022, 0 0.776, 1 0.151, 2 0.044, 3 0.007) |
neg model | (-3 0.000, -2 0.000, -1 0.231, 0 0.226, 1 0.205, 2 0.172, 3 0.167) |
+4 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 2362.5 |
num_iterations | 27 |
prior_probability | 0.470 |
tot_num_spectra | 7592 |
Comet discrim score [fval] negmean: -2.03 | |
pos model | gaussian (mean 1.96, stdev 1.50) |
neg model | gaussian (mean -1.22, 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 0.023, ntt=2 0.977) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.663, 1<=nmc<=2 0.337, nmc>=3 0.000) |
neg model | (nmc=0 0.183, 1<=nmc<=2 0.798, nmc>=3 0.019) |
Accurate Mass Model | |
neg_bandwidth | 0.010911 |
pos_bandwidth | 0.010911 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.022, 0 0.786, 1 0.149, 2 0.035, 3 0.007) |
neg model | (-3 0.000, -2 0.000, -1 0.235, 0 0.211, 1 0.205, 2 0.184, 3 0.165) |
+5 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 307.8 |
num_iterations | 28 |
prior_probability | 0.247 |
tot_num_spectra | 2119 |
Comet discrim score [fval] negmean: -2.92 | |
pos model | gaussian (mean 1.94, stdev 1.44) |
neg model | gaussian (mean -1.74, 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 0.019, ntt=2 0.981) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.570, 1<=nmc<=2 0.429, nmc>=3 0.000) |
neg model | (nmc=0 0.154, 1<=nmc<=2 0.826, nmc>=3 0.020) |
Accurate Mass Model | |
neg_bandwidth | 0.010911 |
pos_bandwidth | 0.010911 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.018, 0 0.823, 1 0.138, 2 0.020, 3 0.001) |
neg model | (-3 0.000, -2 0.000, -1 0.212, 0 0.204, 1 0.209, 2 0.191, 3 0.185) |
+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 | 0.010911 |
pos_bandwidth | 0.010911 |
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 | 0.010911 |
pos_bandwidth | 0.010911 |
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_52A | |
---|---|
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_52A |
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 | 2017-02-20T14:39:12 (id: 1) |
database_refresh | 2017-02-20T14:39:01 (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 | 0.5275 | 0.0000 | 19998 | 0 |
0.9990 | 0.6097 | 0.0001 | 23114 | 2 |
0.9900 | 0.7188 | 0.0007 | 27250 | 19 |
0.9800 | 0.7553 | 0.0014 | 28634 | 39 |
0.9500 | 0.8088 | 0.0035 | 30665 | 109 |
0.9000 | 0.8521 | 0.0073 | 32303 | 238 |
0.8500 | 0.8800 | 0.0115 | 33365 | 387 |
0.8000 | 0.9009 | 0.0160 | 34155 | 554 |
0.7500 | 0.9187 | 0.0211 | 34832 | 751 |
0.7000 | 0.9329 | 0.0263 | 35369 | 955 |
0.6500 | 0.9454 | 0.0320 | 35841 | 1184 |
0.6000 | 0.9530 | 0.0362 | 36129 | 1356 |
0.5500 | 0.9587 | 0.0400 | 36347 | 1515 |
0.5000 | 0.9633 | 0.0438 | 36521 | 1673 |
0.4500 | 0.9677 | 0.0482 | 36690 | 1859 |
0.4000 | 0.9715 | 0.0527 | 36831 | 2051 |
0.3500 | 0.9749 | 0.0578 | 36961 | 2269 |
0.3000 | 0.9783 | 0.0641 | 37091 | 2538 |
0.2500 | 0.9820 | 0.0725 | 37231 | 2909 |
0.2000 | 0.9855 | 0.0826 | 37362 | 3363 |
0.1500 | 0.9891 | 0.0966 | 37497 | 4012 |
0.1000 | 0.9930 | 0.1184 | 37645 | 5054 |
0.0500 | 0.9965 | 0.1520 | 37779 | 6773 |
0.0000 | 1.0000 | 0.5964 | 37912 | 56027 |
+2 only | ||||
0.9999 | 0.4996 | 0.0000 | 11079 | 0 |
0.9990 | 0.5888 | 0.0001 | 13057 | 1 |
0.9900 | 0.7077 | 0.0008 | 15694 | 12 |
0.9800 | 0.7469 | 0.0015 | 16562 | 25 |
0.9500 | 0.8052 | 0.0039 | 17857 | 69 |
0.9000 | 0.8507 | 0.0078 | 18865 | 149 |
0.8500 | 0.8804 | 0.0122 | 19524 | 242 |
0.8000 | 0.9027 | 0.0170 | 20017 | 347 |
0.7500 | 0.9211 | 0.0223 | 20426 | 466 |
0.7000 | 0.9357 | 0.0276 | 20750 | 589 |
0.6500 | 0.9483 | 0.0333 | 21030 | 724 |
0.6000 | 0.9568 | 0.0379 | 21218 | 836 |
0.5500 | 0.9632 | 0.0421 | 21359 | 940 |
0.5000 | 0.9675 | 0.0456 | 21455 | 1026 |
0.4500 | 0.9714 | 0.0494 | 21541 | 1120 |
0.4000 | 0.9748 | 0.0535 | 21616 | 1223 |
0.3500 | 0.9780 | 0.0583 | 21688 | 1342 |
0.3000 | 0.9808 | 0.0634 | 21751 | 1473 |
0.2500 | 0.9837 | 0.0700 | 21814 | 1642 |
0.2000 | 0.9867 | 0.0788 | 21880 | 1871 |
0.1500 | 0.9899 | 0.0914 | 21951 | 2207 |
0.1000 | 0.9936 | 0.1126 | 22034 | 2796 |
0.0500 | 0.9970 | 0.1456 | 22110 | 3767 |
0.0000 | 1.0000 | 0.5499 | 22176 | 27093 |
+3 only | ||||
0.9999 | 0.5820 | 0.0000 | 7605 | 0 |
0.9990 | 0.6508 | 0.0001 | 8504 | 0 |
0.9900 | 0.7400 | 0.0005 | 9670 | 5 |
0.9800 | 0.7717 | 0.0011 | 10084 | 11 |
0.9500 | 0.8176 | 0.0030 | 10684 | 32 |
0.9000 | 0.8581 | 0.0065 | 11212 | 73 |
0.8500 | 0.8823 | 0.0101 | 11528 | 118 |
0.8000 | 0.9012 | 0.0142 | 11775 | 170 |
0.7500 | 0.9180 | 0.0191 | 11996 | 233 |
0.7000 | 0.9324 | 0.0244 | 12183 | 305 |
0.6500 | 0.9449 | 0.0302 | 12347 | 384 |
0.6000 | 0.9509 | 0.0335 | 12425 | 431 |
0.5500 | 0.9553 | 0.0366 | 12482 | 474 |
0.5000 | 0.9598 | 0.0403 | 12541 | 526 |
0.4500 | 0.9646 | 0.0452 | 12604 | 597 |
0.4000 | 0.9685 | 0.0500 | 12655 | 665 |
0.3500 | 0.9720 | 0.0552 | 12700 | 742 |
0.3000 | 0.9760 | 0.0626 | 12753 | 852 |
0.2500 | 0.9805 | 0.0729 | 12812 | 1007 |
0.2000 | 0.9845 | 0.0845 | 12863 | 1188 |
0.1500 | 0.9885 | 0.1001 | 12916 | 1436 |
0.1000 | 0.9924 | 0.1217 | 12967 | 1798 |
0.0500 | 0.9960 | 0.1555 | 13014 | 2395 |
0.0000 | 1.0000 | 0.6262 | 13066 | 21893 |
+4 only | ||||
0.9999 | 0.5202 | 0.0000 | 1229 | 0 |
0.9990 | 0.6074 | 0.0001 | 1435 | 0 |
0.9900 | 0.7233 | 0.0007 | 1709 | 1 |
0.9800 | 0.7613 | 0.0014 | 1799 | 2 |
0.9500 | 0.8096 | 0.0033 | 1913 | 6 |
0.9000 | 0.8461 | 0.0065 | 1999 | 13 |
0.8500 | 0.8769 | 0.0111 | 2072 | 23 |
0.8000 | 0.8947 | 0.0151 | 2114 | 32 |
0.7500 | 0.9114 | 0.0200 | 2153 | 44 |
0.7000 | 0.9197 | 0.0230 | 2173 | 51 |
0.6500 | 0.9306 | 0.0280 | 2199 | 63 |
0.6000 | 0.9376 | 0.0319 | 2215 | 73 |
0.5500 | 0.9444 | 0.0366 | 2231 | 85 |
0.5000 | 0.9508 | 0.0421 | 2246 | 99 |
0.4500 | 0.9579 | 0.0492 | 2263 | 117 |
0.4000 | 0.9630 | 0.0552 | 2275 | 133 |
0.3500 | 0.9678 | 0.0622 | 2286 | 152 |
0.3000 | 0.9717 | 0.0694 | 2296 | 171 |
0.2500 | 0.9777 | 0.0826 | 2310 | 208 |
0.2000 | 0.9820 | 0.0951 | 2320 | 244 |
0.1500 | 0.9863 | 0.1113 | 2330 | 292 |
0.1000 | 0.9909 | 0.1359 | 2341 | 368 |
0.0500 | 0.9949 | 0.1727 | 2350 | 491 |
0.0000 | 1.0000 | 0.6888 | 2362 | 5230 |
+5 only | ||||
0.9999 | 0.2762 | 0.0000 | 85 | 0 |
0.9990 | 0.3866 | 0.0002 | 119 | 0 |
0.9900 | 0.5775 | 0.0015 | 178 | 0 |
0.9800 | 0.6159 | 0.0024 | 190 | 0 |
0.9500 | 0.6881 | 0.0058 | 212 | 1 |
0.9000 | 0.7395 | 0.0105 | 228 | 2 |
0.8500 | 0.7824 | 0.0172 | 241 | 4 |
0.8000 | 0.8066 | 0.0227 | 248 | 6 |
0.7500 | 0.8342 | 0.0312 | 257 | 8 |
0.7000 | 0.8530 | 0.0384 | 263 | 10 |
0.6500 | 0.8641 | 0.0434 | 266 | 12 |
0.6000 | 0.8823 | 0.0539 | 272 | 15 |
0.5500 | 0.8897 | 0.0590 | 274 | 17 |
0.5000 | 0.9068 | 0.0729 | 279 | 22 |
0.4500 | 0.9158 | 0.0819 | 282 | 25 |
0.4000 | 0.9268 | 0.0945 | 285 | 30 |
0.3500 | 0.9328 | 0.1029 | 287 | 33 |
0.3000 | 0.9466 | 0.1252 | 291 | 42 |
0.2500 | 0.9587 | 0.1497 | 295 | 52 |
0.2000 | 0.9675 | 0.1706 | 298 | 61 |
0.1500 | 0.9774 | 0.2021 | 301 | 76 |
0.1000 | 0.9843 | 0.2331 | 303 | 92 |
0.0500 | 0.9911 | 0.2823 | 305 | 120 |
0.0000 | 1.0000 | 0.8548 | 308 | 1811 |
Error Table | |||
Error_Rate | min_prob | num_correct | num_incorrect |
---|---|---|---|
0.0000 | 1.0000 | 6746 | 0 |
0.0001 | 0.9985 | 23663 | 2 |
0.0002 | 0.9971 | 24913 | 5 |
0.0003 | 0.9956 | 25665 | 8 |
0.0004 | 0.9942 | 26214 | 10 |
0.0005 | 0.9927 | 26648 | 13 |
0.0006 | 0.9912 | 27006 | 16 |
0.0007 | 0.9896 | 27308 | 19 |
0.0008 | 0.9882 | 27569 | 22 |
0.0009 | 0.9867 | 27804 | 25 |
0.0010 | 0.9852 | 28014 | 28 |
0.0015 | 0.9780 | 28839 | 43 |
0.0020 | 0.9705 | 29435 | 59 |
0.0025 | 0.9636 | 29903 | 75 |
0.0030 | 0.9572 | 30296 | 91 |
0.0040 | 0.9436 | 30937 | 124 |
0.0050 | 0.9304 | 31439 | 158 |
0.0060 | 0.9167 | 31854 | 192 |
0.0070 | 0.9040 | 32206 | 227 |
0.0080 | 0.8911 | 32515 | 262 |
0.0090 | 0.8797 | 32790 | 298 |
0.0100 | 0.8676 | 33039 | 334 |
0.0150 | 0.8107 | 34005 | 518 |
0.0200 | 0.7598 | 34700 | 708 |
0.0250 | 0.7118 | 35247 | 904 |
0.0300 | 0.6647 | 35690 | 1104 |
0.0400 | 0.5503 | 36346 | 1515 |
0.0500 | 0.4283 | 36749 | 1935 |
0.0750 | 0.2358 | 37267 | 3023 |
0.1000 | 0.1416 | 37525 | 4170 |
+2 only | |||
0.0000 | 1.0000 | 3919 | 0 |
0.0001 | 0.9987 | 13274 | 1 |
0.0002 | 0.9974 | 14064 | 3 |
0.0003 | 0.9961 | 14545 | 4 |
0.0004 | 0.9947 | 14894 | 6 |
0.0005 | 0.9936 | 15171 | 8 |
0.0006 | 0.9922 | 15404 | 9 |
0.0007 | 0.9907 | 15599 | 11 |
0.0008 | 0.9893 | 15767 | 13 |
0.0009 | 0.9881 | 15917 | 14 |
0.0010 | 0.9867 | 16053 | 16 |
0.0015 | 0.9797 | 16576 | 25 |
0.0020 | 0.9732 | 16957 | 34 |
0.0025 | 0.9664 | 17257 | 43 |
0.0030 | 0.9604 | 17504 | 53 |
0.0040 | 0.9478 | 17909 | 72 |
0.0050 | 0.9349 | 18225 | 92 |
0.0060 | 0.9218 | 18484 | 112 |
0.0070 | 0.9091 | 18704 | 132 |
0.0080 | 0.8979 | 18897 | 152 |
0.0090 | 0.8862 | 19069 | 173 |
0.0100 | 0.8754 | 19225 | 194 |
0.0150 | 0.8194 | 19829 | 302 |
0.0200 | 0.7701 | 20262 | 414 |
0.0250 | 0.7237 | 20602 | 529 |
0.0300 | 0.6775 | 20878 | 646 |
0.0400 | 0.5771 | 21292 | 888 |
0.0500 | 0.4428 | 21553 | 1135 |
0.0750 | 0.2211 | 21855 | 1773 |
0.1000 | 0.1272 | 21989 | 2445 |
+3 only | |||
0.0000 | 1.0000 | 2348 | 0 |
0.0001 | 0.9981 | 8792 | 1 |
0.0002 | 0.9962 | 9141 | 2 |
0.0003 | 0.9944 | 9355 | 3 |
0.0004 | 0.9925 | 9507 | 4 |
0.0005 | 0.9907 | 9628 | 5 |
0.0006 | 0.9886 | 9727 | 6 |
0.0007 | 0.9871 | 9811 | 7 |
0.0008 | 0.9853 | 9885 | 8 |
0.0009 | 0.9838 | 9952 | 9 |
0.0010 | 0.9825 | 10014 | 10 |
0.0015 | 0.9729 | 10254 | 15 |
0.0020 | 0.9649 | 10425 | 21 |
0.0025 | 0.9579 | 10564 | 27 |
0.0030 | 0.9500 | 10683 | 32 |
0.0040 | 0.9361 | 10875 | 44 |
0.0050 | 0.9224 | 11029 | 56 |
0.0060 | 0.9074 | 11158 | 67 |
0.0070 | 0.8922 | 11266 | 80 |
0.0080 | 0.8787 | 11361 | 92 |
0.0090 | 0.8653 | 11446 | 104 |
0.0100 | 0.8518 | 11520 | 117 |
0.0150 | 0.7890 | 11817 | 180 |
0.0200 | 0.7412 | 12032 | 246 |
0.0250 | 0.6918 | 12203 | 313 |
0.0300 | 0.6509 | 12343 | 382 |
0.0400 | 0.5041 | 12538 | 523 |
0.0500 | 0.3996 | 12656 | 667 |
0.0750 | 0.2376 | 12822 | 1041 |
0.1000 | 0.1502 | 12916 | 1436 |
+4 only | |||
0.0000 | 1.0000 | 428 | 0 |
0.0001 | 0.9987 | 1460 | 0 |
0.0002 | 0.9975 | 1553 | 0 |
0.0003 | 0.9958 | 1605 | 0 |
0.0004 | 0.9944 | 1641 | 1 |
0.0005 | 0.9932 | 1670 | 1 |
0.0006 | 0.9915 | 1693 | 1 |
0.0007 | 0.9898 | 1713 | 1 |
0.0008 | 0.9886 | 1730 | 1 |
0.0009 | 0.9874 | 1745 | 2 |
0.0010 | 0.9855 | 1759 | 2 |
0.0015 | 0.9771 | 1811 | 3 |
0.0020 | 0.9700 | 1847 | 4 |
0.0025 | 0.9619 | 1876 | 5 |
0.0030 | 0.9543 | 1900 | 6 |
0.0040 | 0.9395 | 1937 | 8 |
0.0050 | 0.9253 | 1966 | 10 |
0.0060 | 0.9092 | 1989 | 12 |
0.0070 | 0.8950 | 2009 | 14 |
0.0080 | 0.8867 | 2027 | 16 |
0.0090 | 0.8735 | 2043 | 19 |
0.0100 | 0.8630 | 2057 | 21 |
0.0150 | 0.8004 | 2114 | 33 |
0.0200 | 0.7494 | 2155 | 44 |
0.0250 | 0.6847 | 2185 | 56 |
0.0300 | 0.6338 | 2208 | 69 |
0.0400 | 0.5199 | 2242 | 94 |
0.0500 | 0.4478 | 2265 | 120 |
0.0750 | 0.2838 | 2302 | 188 |
0.1000 | 0.1876 | 2324 | 259 |
+5 only | |||
0.0000 | 1.0000 | 57 | 0 |
0.0001 | 0.9992 | 111 | 0 |
0.0002 | 0.9987 | 125 | 0 |
0.0003 | 0.9981 | 135 | 0 |
0.0004 | 0.9972 | 142 | 0 |
0.0005 | 0.9967 | 147 | 0 |
0.0006 | 0.9956 | 152 | 0 |
0.0007 | 0.9950 | 156 | 0 |
0.0008 | 0.9948 | 159 | 0 |
0.0009 | 0.9942 | 163 | 0 |
0.0010 | 0.9935 | 166 | 0 |
0.0015 | 0.9905 | 179 | 0 |
0.0020 | 0.9830 | 187 | 0 |
0.0025 | 0.9791 | 192 | 1 |
0.0030 | 0.9752 | 196 | 1 |
0.0040 | 0.9645 | 204 | 1 |
0.0050 | 0.9541 | 210 | 1 |
0.0060 | 0.9481 | 215 | 1 |
0.0070 | 0.9371 | 218 | 2 |
0.0080 | 0.9320 | 222 | 2 |
0.0090 | 0.9256 | 225 | 2 |
0.0100 | 0.9071 | 228 | 2 |
0.0150 | 0.8726 | 238 | 4 |
0.0200 | 0.8340 | 246 | 5 |
0.0250 | 0.7834 | 252 | 7 |
0.0300 | 0.7606 | 257 | 8 |
0.0400 | 0.6975 | 265 | 11 |
0.0500 | 0.6220 | 270 | 15 |
0.0750 | 0.4723 | 280 | 24 |
0.1000 | 0.3581 | 287 | 33 |
peptideprophet | |
---|---|
time | 2017-02-20T14:39:12 |
author | AKeller@ISB |
est_tot_num_correct | 37912.4 |
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_52A.pep.xml |
database_refresh | |
time | 2017-02-20T14:39:01 |
interact | |
time | 2017-02-20T14:38:18 |
directory | /home/sean/Documents/proteome |
filename | /home/sean/Documents/proteome/interact-20161205_Sample_52A.pep.xml |
directory | /home/sean/Documents/proteome |
inputfile | 20161205_Sample_52A.pep.xml |
tpp_models | |
time | Mon Feb 20 14:41:30 2017 |