+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 | 0.010854 |
pos_bandwidth | 0.010854 |
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 | 10254.0 |
num_iterations | 28 |
prior_probability | 0.328 |
tot_num_spectra | 51121 |
Comet discrim score [fval] negmean: -2.11 | |
pos model | gaussian (mean 2.15, stdev 2.06) |
neg model | gaussian (mean -1.13, stdev 0.99) |
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 0.908, 1<=nmc<=2 0.092, nmc>=3 0.000) |
neg model | (nmc=0 0.519, 1<=nmc<=2 0.480, nmc>=3 0.001) |
Accurate Mass Model | |
neg_bandwidth | 0.010854 |
pos_bandwidth | 0.010854 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.039, 0 0.866, 1 0.091, 2 0.004, 3 0.000) |
neg model | (-3 0.000, -2 0.000, -1 0.284, 0 0.314, 1 0.179, 2 0.126, 3 0.097) |
+3 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 4899.3 |
num_iterations | 27 |
prior_probability | 0.332 |
tot_num_spectra | 24514 |
Comet discrim score [fval] negmean: -1.66 | |
pos model | gaussian (mean 3.66, stdev 2.36) |
neg model | gaussian (mean -0.57, 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 0.021, ntt=2 0.978) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.711, 1<=nmc<=2 0.289, nmc>=3 0.000) |
neg model | (nmc=0 0.287, 1<=nmc<=2 0.705, nmc>=3 0.008) |
Accurate Mass Model | |
neg_bandwidth | 0.010854 |
pos_bandwidth | 0.010854 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.026, 0 0.744, 1 0.177, 2 0.049, 3 0.005) |
neg model | (-3 0.000, -2 0.000, -1 0.228, 0 0.225, 1 0.200, 2 0.183, 3 0.165) |
+4 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 876.3 |
num_iterations | 28 |
prior_probability | 0.258 |
tot_num_spectra | 5904 |
Comet discrim score [fval] negmean: -2.03 | |
pos model | gaussian (mean 1.64, stdev 1.41) |
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 0.026, ntt=2 0.973) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.474, 1<=nmc<=2 0.526, nmc>=3 0.000) |
neg model | (nmc=0 0.190, 1<=nmc<=2 0.793, nmc>=3 0.017) |
Accurate Mass Model | |
neg_bandwidth | 0.010854 |
pos_bandwidth | 0.010854 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.011, 0 0.765, 1 0.161, 2 0.039, 3 0.023) |
neg model | (-3 0.000, -2 0.000, -1 0.225, 0 0.208, 1 0.204, 2 0.190, 3 0.173) |
+5 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 76.8 |
num_iterations | 29 |
prior_probability | 0.094 |
tot_num_spectra | 1529 |
Comet discrim score [fval] negmean: -2.91 | |
pos model | gaussian (mean 1.50, stdev 1.57) |
neg model | gaussian (mean -1.77, stdev 1.14) |
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 0.193, 1<=nmc<=2 0.807, nmc>=3 0.001) |
neg model | (nmc=0 0.130, 1<=nmc<=2 0.841, nmc>=3 0.028) |
Accurate Mass Model | |
neg_bandwidth | 0.010854 |
pos_bandwidth | 0.010854 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.006, 0 0.892, 1 0.092, 2 0.005, 3 0.005) |
neg model | (-3 0.000, -2 0.000, -1 0.214, 0 0.208, 1 0.194, 2 0.188, 3 0.195) |
+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 | 0.010854 |
pos_bandwidth | 0.010854 |
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 | 0.010854 |
pos_bandwidth | 0.010854 |
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_35 | |
---|---|
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_35 |
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 | 2017-02-20T13:46:41 (id: 1) |
database_refresh | 2017-02-20T13:46:30 (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 | 0.4075 | 0.0000 | 6564 | 0 |
0.9990 | 0.4859 | 0.0001 | 7825 | 1 |
0.9900 | 0.6001 | 0.0009 | 9665 | 8 |
0.9800 | 0.6397 | 0.0017 | 10303 | 18 |
0.9500 | 0.6957 | 0.0043 | 11206 | 48 |
0.9000 | 0.7436 | 0.0090 | 11976 | 109 |
0.8500 | 0.7753 | 0.0143 | 12487 | 182 |
0.8000 | 0.8005 | 0.0203 | 12893 | 267 |
0.7500 | 0.8223 | 0.0271 | 13245 | 369 |
0.7000 | 0.8428 | 0.0351 | 13574 | 494 |
0.6500 | 0.8600 | 0.0433 | 13851 | 628 |
0.6000 | 0.8759 | 0.0525 | 14107 | 781 |
0.5500 | 0.8907 | 0.0626 | 14346 | 958 |
0.5000 | 0.9059 | 0.0748 | 14590 | 1180 |
0.4500 | 0.9216 | 0.0896 | 14844 | 1461 |
0.4000 | 0.9321 | 0.1010 | 15012 | 1686 |
0.3500 | 0.9402 | 0.1117 | 15143 | 1904 |
0.3000 | 0.9473 | 0.1232 | 15258 | 2144 |
0.2500 | 0.9547 | 0.1378 | 15376 | 2459 |
0.2000 | 0.9633 | 0.1593 | 15515 | 2941 |
0.1500 | 0.9720 | 0.1871 | 15655 | 3604 |
0.1000 | 0.9805 | 0.2248 | 15792 | 4579 |
0.0500 | 0.9896 | 0.2882 | 15938 | 6454 |
0.0000 | 1.0000 | 0.8061 | 16106 | 66962 |
+2 only | ||||
0.9999 | 0.3825 | 0.0000 | 3922 | 0 |
0.9990 | 0.4625 | 0.0001 | 4743 | 0 |
0.9900 | 0.5758 | 0.0009 | 5905 | 5 |
0.9800 | 0.6189 | 0.0019 | 6346 | 12 |
0.9500 | 0.6769 | 0.0046 | 6941 | 32 |
0.9000 | 0.7264 | 0.0096 | 7449 | 72 |
0.8500 | 0.7602 | 0.0154 | 7795 | 122 |
0.8000 | 0.7865 | 0.0217 | 8064 | 179 |
0.7500 | 0.8096 | 0.0290 | 8301 | 248 |
0.7000 | 0.8324 | 0.0379 | 8535 | 337 |
0.6500 | 0.8510 | 0.0468 | 8726 | 428 |
0.6000 | 0.8696 | 0.0574 | 8917 | 542 |
0.5500 | 0.8860 | 0.0684 | 9085 | 667 |
0.5000 | 0.9027 | 0.0816 | 9256 | 823 |
0.4500 | 0.9214 | 0.0988 | 9448 | 1036 |
0.4000 | 0.9319 | 0.1099 | 9556 | 1180 |
0.3500 | 0.9404 | 0.1208 | 9643 | 1324 |
0.3000 | 0.9478 | 0.1324 | 9719 | 1483 |
0.2500 | 0.9547 | 0.1458 | 9789 | 1671 |
0.2000 | 0.9630 | 0.1661 | 9875 | 1966 |
0.1500 | 0.9717 | 0.1933 | 9964 | 2387 |
0.1000 | 0.9800 | 0.2299 | 10049 | 3000 |
0.0500 | 0.9896 | 0.2959 | 10147 | 4264 |
0.0000 | 1.0000 | 0.7994 | 10254 | 40867 |
+3 only | ||||
0.9999 | 0.4727 | 0.0000 | 2316 | 0 |
0.9990 | 0.5462 | 0.0001 | 2676 | 0 |
0.9900 | 0.6586 | 0.0007 | 3227 | 2 |
0.9800 | 0.6914 | 0.0014 | 3387 | 5 |
0.9500 | 0.7407 | 0.0035 | 3629 | 13 |
0.9000 | 0.7822 | 0.0075 | 3832 | 29 |
0.8500 | 0.8096 | 0.0119 | 3966 | 48 |
0.8000 | 0.8322 | 0.0171 | 4077 | 71 |
0.7500 | 0.8506 | 0.0227 | 4167 | 97 |
0.7000 | 0.8662 | 0.0289 | 4244 | 126 |
0.6500 | 0.8818 | 0.0363 | 4320 | 163 |
0.6000 | 0.8921 | 0.0423 | 4371 | 193 |
0.5500 | 0.9042 | 0.0508 | 4430 | 237 |
0.5000 | 0.9165 | 0.0610 | 4490 | 292 |
0.4500 | 0.9263 | 0.0706 | 4538 | 345 |
0.4000 | 0.9366 | 0.0824 | 4589 | 412 |
0.3500 | 0.9438 | 0.0925 | 4624 | 471 |
0.3000 | 0.9494 | 0.1020 | 4652 | 528 |
0.2500 | 0.9571 | 0.1181 | 4689 | 628 |
0.2000 | 0.9656 | 0.1403 | 4731 | 772 |
0.1500 | 0.9740 | 0.1684 | 4772 | 966 |
0.1000 | 0.9824 | 0.2068 | 4813 | 1255 |
0.0500 | 0.9902 | 0.2644 | 4851 | 1744 |
0.0000 | 1.0000 | 0.8001 | 4899 | 19615 |
+4 only | ||||
0.9999 | 0.3583 | 0.0000 | 314 | 0 |
0.9990 | 0.4461 | 0.0001 | 391 | 0 |
0.9900 | 0.5734 | 0.0010 | 503 | 0 |
0.9800 | 0.6140 | 0.0018 | 538 | 1 |
0.9500 | 0.6846 | 0.0051 | 600 | 3 |
0.9000 | 0.7438 | 0.0109 | 652 | 7 |
0.8500 | 0.7759 | 0.0161 | 680 | 11 |
0.8000 | 0.8034 | 0.0222 | 704 | 16 |
0.7500 | 0.8273 | 0.0295 | 725 | 22 |
0.7000 | 0.8438 | 0.0359 | 739 | 28 |
0.6500 | 0.8545 | 0.0412 | 749 | 32 |
0.6000 | 0.8702 | 0.0503 | 763 | 40 |
0.5500 | 0.8828 | 0.0588 | 774 | 48 |
0.5000 | 0.8955 | 0.0691 | 785 | 58 |
0.4500 | 0.9095 | 0.0828 | 797 | 72 |
0.4000 | 0.9196 | 0.0945 | 806 | 84 |
0.3500 | 0.9278 | 0.1056 | 813 | 96 |
0.3000 | 0.9388 | 0.1239 | 823 | 116 |
0.2500 | 0.9483 | 0.1433 | 831 | 139 |
0.2000 | 0.9591 | 0.1695 | 840 | 172 |
0.1500 | 0.9689 | 0.2005 | 849 | 213 |
0.1000 | 0.9790 | 0.2421 | 858 | 274 |
0.0500 | 0.9879 | 0.3013 | 866 | 373 |
0.0000 | 1.0000 | 0.8516 | 876 | 5028 |
+5 only | ||||
0.9999 | 0.1563 | 0.0000 | 12 | 0 |
0.9990 | 0.2084 | 0.0002 | 16 | 0 |
0.9900 | 0.4028 | 0.0024 | 31 | 0 |
0.9800 | 0.4156 | 0.0029 | 32 | 0 |
0.9500 | 0.4662 | 0.0058 | 36 | 0 |
0.9000 | 0.5622 | 0.0191 | 43 | 1 |
0.8500 | 0.5959 | 0.0268 | 46 | 1 |
0.8000 | 0.6172 | 0.0330 | 47 | 2 |
0.7500 | 0.6681 | 0.0502 | 51 | 3 |
0.7000 | 0.7159 | 0.0685 | 55 | 4 |
0.6500 | 0.7338 | 0.0765 | 56 | 5 |
0.6000 | 0.7417 | 0.0817 | 57 | 5 |
0.5500 | 0.7489 | 0.0874 | 57 | 6 |
0.5000 | 0.7691 | 0.1054 | 59 | 7 |
0.4500 | 0.7881 | 0.1231 | 61 | 8 |
0.4000 | 0.7990 | 0.1360 | 61 | 10 |
0.3500 | 0.8236 | 0.1681 | 63 | 13 |
0.3000 | 0.8447 | 0.1994 | 65 | 16 |
0.2500 | 0.8697 | 0.2413 | 67 | 21 |
0.2000 | 0.9052 | 0.3051 | 69 | 31 |
0.1500 | 0.9227 | 0.3441 | 71 | 37 |
0.1000 | 0.9450 | 0.4054 | 73 | 49 |
0.0500 | 0.9672 | 0.4949 | 74 | 73 |
0.0000 | 1.0000 | 0.9498 | 77 | 1452 |
Error Table | |||
Error_Rate | min_prob | num_correct | num_incorrect |
---|---|---|---|
0.0000 | 1.0000 | 2894 | 0 |
0.0001 | 0.9988 | 7914 | 1 |
0.0002 | 0.9977 | 8431 | 2 |
0.0003 | 0.9966 | 8764 | 3 |
0.0004 | 0.9954 | 9005 | 4 |
0.0005 | 0.9942 | 9194 | 5 |
0.0006 | 0.9931 | 9354 | 6 |
0.0007 | 0.9918 | 9490 | 7 |
0.0008 | 0.9905 | 9609 | 8 |
0.0009 | 0.9894 | 9713 | 9 |
0.0010 | 0.9883 | 9808 | 10 |
0.0015 | 0.9823 | 10181 | 15 |
0.0020 | 0.9768 | 10453 | 21 |
0.0025 | 0.9711 | 10670 | 27 |
0.0030 | 0.9649 | 10850 | 33 |
0.0040 | 0.9532 | 11134 | 45 |
0.0050 | 0.9414 | 11359 | 57 |
0.0060 | 0.9320 | 11544 | 70 |
0.0070 | 0.9218 | 11707 | 83 |
0.0080 | 0.9098 | 11850 | 96 |
0.0090 | 0.9001 | 11976 | 109 |
0.0100 | 0.8896 | 12090 | 122 |
0.0150 | 0.8432 | 12540 | 191 |
0.0200 | 0.8032 | 12876 | 263 |
0.0250 | 0.7662 | 13145 | 337 |
0.0300 | 0.7322 | 13372 | 414 |
0.0400 | 0.6701 | 13746 | 573 |
0.0500 | 0.6132 | 14043 | 740 |
0.0750 | 0.4991 | 14595 | 1184 |
0.1000 | 0.4042 | 15000 | 1667 |
+2 only | |||
0.0000 | 1.0000 | 1843 | 0 |
0.0001 | 0.9989 | 4774 | 0 |
0.0002 | 0.9977 | 5094 | 1 |
0.0003 | 0.9967 | 5299 | 2 |
0.0004 | 0.9955 | 5452 | 2 |
0.0005 | 0.9943 | 5572 | 3 |
0.0006 | 0.9934 | 5672 | 3 |
0.0007 | 0.9923 | 5758 | 4 |
0.0008 | 0.9911 | 5834 | 5 |
0.0009 | 0.9900 | 5902 | 5 |
0.0010 | 0.9889 | 5963 | 6 |
0.0015 | 0.9837 | 6210 | 9 |
0.0020 | 0.9785 | 6391 | 13 |
0.0025 | 0.9730 | 6536 | 16 |
0.0030 | 0.9676 | 6656 | 20 |
0.0040 | 0.9562 | 6846 | 28 |
0.0050 | 0.9462 | 6996 | 35 |
0.0060 | 0.9355 | 7120 | 43 |
0.0070 | 0.9264 | 7227 | 51 |
0.0080 | 0.9162 | 7322 | 59 |
0.0090 | 0.9057 | 7406 | 67 |
0.0100 | 0.8956 | 7481 | 76 |
0.0150 | 0.8525 | 7778 | 119 |
0.0200 | 0.8124 | 8001 | 163 |
0.0250 | 0.7772 | 8180 | 210 |
0.0300 | 0.7436 | 8332 | 258 |
0.0400 | 0.6880 | 8585 | 358 |
0.0500 | 0.6353 | 8789 | 463 |
0.0750 | 0.5241 | 9174 | 745 |
0.1000 | 0.4471 | 9461 | 1052 |
+3 only | |||
0.0000 | 1.0000 | 876 | 0 |
0.0001 | 0.9987 | 2735 | 0 |
0.0002 | 0.9975 | 2898 | 1 |
0.0003 | 0.9962 | 3001 | 1 |
0.0004 | 0.9947 | 3074 | 1 |
0.0005 | 0.9937 | 3131 | 2 |
0.0006 | 0.9921 | 3180 | 2 |
0.0007 | 0.9903 | 3220 | 2 |
0.0008 | 0.9889 | 3252 | 3 |
0.0009 | 0.9872 | 3282 | 3 |
0.0010 | 0.9853 | 3308 | 3 |
0.0015 | 0.9786 | 3407 | 5 |
0.0020 | 0.9720 | 3481 | 7 |
0.0025 | 0.9651 | 3539 | 9 |
0.0030 | 0.9569 | 3587 | 11 |
0.0040 | 0.9429 | 3662 | 15 |
0.0050 | 0.9318 | 3721 | 19 |
0.0060 | 0.9196 | 3772 | 23 |
0.0070 | 0.9063 | 3815 | 27 |
0.0080 | 0.8940 | 3853 | 31 |
0.0090 | 0.8847 | 3887 | 35 |
0.0100 | 0.8727 | 3917 | 40 |
0.0150 | 0.8201 | 4037 | 62 |
0.0200 | 0.7754 | 4127 | 85 |
0.0250 | 0.7276 | 4199 | 108 |
0.0300 | 0.6948 | 4258 | 132 |
0.0400 | 0.6179 | 4353 | 182 |
0.0500 | 0.5524 | 4426 | 233 |
0.0750 | 0.4337 | 4559 | 370 |
0.1000 | 0.3116 | 4647 | 517 |
+4 only | |||
0.0000 | 1.0000 | 167 | 0 |
0.0001 | 0.9990 | 392 | 0 |
0.0002 | 0.9980 | 424 | 0 |
0.0003 | 0.9970 | 444 | 0 |
0.0004 | 0.9959 | 459 | 0 |
0.0005 | 0.9948 | 471 | 0 |
0.0006 | 0.9941 | 480 | 0 |
0.0007 | 0.9927 | 488 | 0 |
0.0008 | 0.9916 | 495 | 0 |
0.0009 | 0.9905 | 501 | 0 |
0.0010 | 0.9890 | 506 | 1 |
0.0015 | 0.9858 | 529 | 1 |
0.0020 | 0.9792 | 545 | 1 |
0.0025 | 0.9736 | 558 | 1 |
0.0030 | 0.9697 | 568 | 2 |
0.0040 | 0.9594 | 587 | 2 |
0.0050 | 0.9504 | 600 | 3 |
0.0060 | 0.9394 | 611 | 4 |
0.0070 | 0.9348 | 622 | 4 |
0.0080 | 0.9229 | 632 | 5 |
0.0090 | 0.9146 | 640 | 6 |
0.0100 | 0.9058 | 647 | 7 |
0.0150 | 0.8583 | 676 | 11 |
0.0200 | 0.8258 | 698 | 14 |
0.0250 | 0.7759 | 714 | 19 |
0.0300 | 0.7469 | 727 | 23 |
0.0400 | 0.6526 | 748 | 31 |
0.0500 | 0.6084 | 763 | 41 |
0.0750 | 0.4764 | 791 | 65 |
0.1000 | 0.3749 | 810 | 91 |
+5 only | |||
0.0000 | 0.9997 | 14 | 0 |
0.0001 | 0.9990 | 16 | 0 |
0.0002 | 0.9986 | 18 | 0 |
0.0003 | 0.9981 | 19 | 0 |
0.0004 | 0.9979 | 20 | 0 |
0.0005 | 0.9978 | 21 | 0 |
0.0006 | 0.9977 | 22 | 0 |
0.0007 | 0.9975 | 23 | 0 |
0.0008 | 0.9969 | 24 | 0 |
0.0009 | 0.9953 | 25 | 0 |
0.0010 | 0.9946 | 26 | 0 |
0.0015 | 0.9932 | 28 | 0 |
0.0020 | 0.9911 | 31 | 0 |
0.0025 | 0.9815 | 33 | 0 |
0.0030 | 0.9793 | 34 | 0 |
0.0040 | 0.9638 | 36 | 0 |
0.0050 | 0.9636 | 37 | 0 |
0.0060 | 0.9435 | 38 | 0 |
0.0070 | 0.9435 | 38 | 0 |
0.0080 | 0.9352 | 39 | 0 |
0.0090 | 0.9334 | 40 | 0 |
0.0100 | 0.9334 | 40 | 0 |
0.0150 | 0.9084 | 42 | 1 |
0.0200 | 0.8760 | 45 | 1 |
0.0250 | 0.8508 | 47 | 1 |
0.0300 | 0.8010 | 48 | 2 |
0.0400 | 0.7831 | 51 | 2 |
0.0500 | 0.7541 | 52 | 3 |
0.0750 | 0.6771 | 57 | 5 |
0.1000 | 0.5017 | 60 | 7 |
peptideprophet | |
---|---|
time | 2017-02-20T13:46:41 |
author | AKeller@ISB |
est_tot_num_correct | 16106.4 |
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_35.pep.xml |
database_refresh | |
time | 2017-02-20T13:46:30 |
interact | |
time | 2017-02-20T13:45:52 |
directory | /home/sean/Documents/proteome |
filename | /home/sean/Documents/proteome/interact-20161205_Sample_35.pep.xml |
directory | /home/sean/Documents/proteome |
inputfile | 20161205_Sample_35.pep.xml |
tpp_models | |
time | Mon Feb 20 13:48:02 2017 |