+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 | 0.010934 |
pos_bandwidth | 0.010934 |
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 | 22971.0 |
num_iterations | 26 |
prior_probability | 0.609 |
tot_num_spectra | 51761 |
Comet discrim score [fval] negmean: -2.02 | |
pos model | gaussian (mean 2.90, stdev 2.12) |
neg model | gaussian (mean -0.98, stdev 1.04) |
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 0.933, 1<=nmc<=2 0.067, nmc>=3 0.000) |
neg model | (nmc=0 0.485, 1<=nmc<=2 0.513, nmc>=3 0.002) |
Accurate Mass Model | |
neg_bandwidth | 0.010934 |
pos_bandwidth | 0.010934 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.034, 0 0.855, 1 0.102, 2 0.009, 3 0.000) |
neg model | (-3 0.000, -2 0.000, -1 0.298, 0 0.317, 1 0.167, 2 0.117, 3 0.101) |
+3 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 12244.8 |
num_iterations | 26 |
prior_probability | 0.508 |
tot_num_spectra | 35351 |
Comet discrim score [fval] negmean: -1.61 | |
pos model | gaussian (mean 4.11, stdev 2.47) |
neg model | gaussian (mean -0.54, 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 0.021, ntt=2 0.979) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.819, 1<=nmc<=2 0.181, nmc>=3 0.000) |
neg model | (nmc=0 0.279, 1<=nmc<=2 0.713, nmc>=3 0.008) |
Accurate Mass Model | |
neg_bandwidth | 0.010934 |
pos_bandwidth | 0.010934 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.021, 0 0.793, 1 0.138, 2 0.042, 3 0.006) |
neg model | (-3 0.000, -2 0.000, -1 0.236, 0 0.226, 1 0.199, 2 0.175, 3 0.164) |
+4 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 2038.7 |
num_iterations | 27 |
prior_probability | 0.434 |
tot_num_spectra | 7260 |
Comet discrim score [fval] negmean: -2.06 | |
pos model | gaussian (mean 1.99, stdev 1.53) |
neg model | gaussian (mean -1.21, 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 0.023, ntt=2 0.977) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.684, 1<=nmc<=2 0.316, nmc>=3 0.000) |
neg model | (nmc=0 0.192, 1<=nmc<=2 0.789, nmc>=3 0.018) |
Accurate Mass Model | |
neg_bandwidth | 0.010934 |
pos_bandwidth | 0.010934 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.017, 0 0.824, 1 0.123, 2 0.032, 3 0.004) |
neg model | (-3 0.000, -2 0.000, -1 0.233, 0 0.211, 1 0.197, 2 0.184, 3 0.175) |
+5 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 242.3 |
num_iterations | 28 |
prior_probability | 0.249 |
tot_num_spectra | 1722 |
Comet discrim score [fval] negmean: -2.90 | |
pos model | gaussian (mean 1.96, stdev 1.48) |
neg model | gaussian (mean -1.72, 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 0.022, ntt=2 0.978) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.562, 1<=nmc<=2 0.438, nmc>=3 0.000) |
neg model | (nmc=0 0.168, 1<=nmc<=2 0.807, nmc>=3 0.025) |
Accurate Mass Model | |
neg_bandwidth | 0.010934 |
pos_bandwidth | 0.010934 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.006, 0 0.866, 1 0.115, 2 0.012, 3 0.001) |
neg model | (-3 0.000, -2 0.000, -1 0.204, 0 0.201, 1 0.213, 2 0.190, 3 0.192) |
+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 | 0.010934 |
pos_bandwidth | 0.010934 |
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 | 0.010934 |
pos_bandwidth | 0.010934 |
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_24A | |
---|---|
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_24A |
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 | 2017-02-20T13:18:37 (id: 1) |
database_refresh | 2017-02-20T13:18:25 (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 | 0.5409 | 0.0000 | 20281 | 0 |
0.9990 | 0.6224 | 0.0001 | 23337 | 2 |
0.9900 | 0.7264 | 0.0006 | 27237 | 17 |
0.9800 | 0.7615 | 0.0013 | 28553 | 37 |
0.9500 | 0.8134 | 0.0034 | 30500 | 103 |
0.9000 | 0.8545 | 0.0069 | 32040 | 224 |
0.8500 | 0.8809 | 0.0109 | 33032 | 363 |
0.8000 | 0.8999 | 0.0150 | 33744 | 513 |
0.7500 | 0.9167 | 0.0198 | 34373 | 695 |
0.7000 | 0.9303 | 0.0248 | 34883 | 889 |
0.6500 | 0.9422 | 0.0303 | 35330 | 1103 |
0.6000 | 0.9518 | 0.0356 | 35689 | 1319 |
0.5500 | 0.9571 | 0.0392 | 35888 | 1466 |
0.5000 | 0.9617 | 0.0430 | 36060 | 1619 |
0.4500 | 0.9659 | 0.0472 | 36220 | 1796 |
0.4000 | 0.9699 | 0.0520 | 36367 | 1995 |
0.3500 | 0.9740 | 0.0581 | 36522 | 2255 |
0.3000 | 0.9776 | 0.0646 | 36656 | 2533 |
0.2500 | 0.9812 | 0.0729 | 36791 | 2893 |
0.2000 | 0.9846 | 0.0829 | 36920 | 3338 |
0.1500 | 0.9884 | 0.0976 | 37061 | 4010 |
0.1000 | 0.9924 | 0.1202 | 37212 | 5083 |
0.0500 | 0.9962 | 0.1565 | 37354 | 6931 |
0.0000 | 1.0000 | 0.6098 | 37497 | 58597 |
+2 only | ||||
0.9999 | 0.5201 | 0.0000 | 11948 | 0 |
0.9990 | 0.6085 | 0.0001 | 13977 | 1 |
0.9900 | 0.7202 | 0.0007 | 16544 | 11 |
0.9800 | 0.7572 | 0.0014 | 17394 | 24 |
0.9500 | 0.8121 | 0.0036 | 18654 | 67 |
0.9000 | 0.8553 | 0.0073 | 19648 | 144 |
0.8500 | 0.8841 | 0.0116 | 20308 | 237 |
0.8000 | 0.9048 | 0.0160 | 20785 | 337 |
0.7500 | 0.9217 | 0.0208 | 21171 | 450 |
0.7000 | 0.9355 | 0.0258 | 21489 | 569 |
0.6500 | 0.9473 | 0.0312 | 21760 | 700 |
0.6000 | 0.9562 | 0.0360 | 21964 | 821 |
0.5500 | 0.9615 | 0.0396 | 22086 | 912 |
0.5000 | 0.9656 | 0.0430 | 22181 | 996 |
0.4500 | 0.9696 | 0.0469 | 22273 | 1097 |
0.4000 | 0.9731 | 0.0512 | 22353 | 1206 |
0.3500 | 0.9767 | 0.0566 | 22437 | 1345 |
0.3000 | 0.9799 | 0.0622 | 22508 | 1494 |
0.2500 | 0.9829 | 0.0693 | 22579 | 1681 |
0.2000 | 0.9860 | 0.0784 | 22650 | 1927 |
0.1500 | 0.9893 | 0.0915 | 22725 | 2289 |
0.1000 | 0.9931 | 0.1132 | 22812 | 2913 |
0.0500 | 0.9968 | 0.1491 | 22897 | 4013 |
0.0000 | 1.0000 | 0.5562 | 22971 | 28790 |
+3 only | ||||
0.9999 | 0.5924 | 0.0000 | 7254 | 0 |
0.9990 | 0.6589 | 0.0001 | 8068 | 0 |
0.9900 | 0.7441 | 0.0005 | 9111 | 5 |
0.9800 | 0.7747 | 0.0011 | 9486 | 10 |
0.9500 | 0.8202 | 0.0029 | 10044 | 29 |
0.9000 | 0.8568 | 0.0061 | 10492 | 64 |
0.8500 | 0.8790 | 0.0094 | 10763 | 103 |
0.8000 | 0.8951 | 0.0130 | 10960 | 144 |
0.7500 | 0.9118 | 0.0179 | 11164 | 204 |
0.7000 | 0.9253 | 0.0230 | 11330 | 267 |
0.6500 | 0.9378 | 0.0288 | 11483 | 341 |
0.6000 | 0.9489 | 0.0351 | 11619 | 422 |
0.5500 | 0.9534 | 0.0382 | 11675 | 463 |
0.5000 | 0.9580 | 0.0420 | 11730 | 514 |
0.4500 | 0.9624 | 0.0464 | 11784 | 573 |
0.4000 | 0.9666 | 0.0515 | 11836 | 643 |
0.3500 | 0.9713 | 0.0586 | 11894 | 740 |
0.3000 | 0.9754 | 0.0659 | 11943 | 843 |
0.2500 | 0.9796 | 0.0757 | 11995 | 982 |
0.2000 | 0.9834 | 0.0866 | 12042 | 1142 |
0.1500 | 0.9878 | 0.1035 | 12095 | 1396 |
0.1000 | 0.9918 | 0.1258 | 12145 | 1747 |
0.0500 | 0.9955 | 0.1610 | 12190 | 2340 |
0.0000 | 1.0000 | 0.6536 | 12245 | 23106 |
+4 only | ||||
0.9999 | 0.4954 | 0.0000 | 1010 | 0 |
0.9990 | 0.5861 | 0.0001 | 1195 | 0 |
0.9900 | 0.7083 | 0.0008 | 1444 | 1 |
0.9800 | 0.7455 | 0.0014 | 1520 | 2 |
0.9500 | 0.7995 | 0.0038 | 1630 | 6 |
0.9000 | 0.8414 | 0.0074 | 1715 | 13 |
0.8500 | 0.8667 | 0.0112 | 1767 | 20 |
0.8000 | 0.8837 | 0.0150 | 1802 | 27 |
0.7500 | 0.8985 | 0.0194 | 1832 | 36 |
0.7000 | 0.9107 | 0.0239 | 1857 | 45 |
0.6500 | 0.9203 | 0.0284 | 1876 | 55 |
0.6000 | 0.9285 | 0.0332 | 1893 | 65 |
0.5500 | 0.9373 | 0.0393 | 1911 | 78 |
0.5000 | 0.9463 | 0.0469 | 1929 | 95 |
0.4500 | 0.9525 | 0.0532 | 1942 | 109 |
0.4000 | 0.9581 | 0.0600 | 1953 | 125 |
0.3500 | 0.9636 | 0.0681 | 1965 | 143 |
0.3000 | 0.9689 | 0.0774 | 1975 | 166 |
0.2500 | 0.9745 | 0.0899 | 1987 | 196 |
0.2000 | 0.9791 | 0.1029 | 1996 | 229 |
0.1500 | 0.9837 | 0.1197 | 2005 | 273 |
0.1000 | 0.9896 | 0.1502 | 2017 | 357 |
0.0500 | 0.9943 | 0.1914 | 2027 | 480 |
0.0000 | 1.0000 | 0.7192 | 2039 | 5221 |
+5 only | ||||
0.9999 | 0.2847 | 0.0000 | 69 | 0 |
0.9990 | 0.4043 | 0.0002 | 98 | 0 |
0.9900 | 0.5687 | 0.0014 | 138 | 0 |
0.9800 | 0.6338 | 0.0027 | 154 | 0 |
0.9500 | 0.7096 | 0.0060 | 172 | 1 |
0.9000 | 0.7672 | 0.0111 | 186 | 2 |
0.8500 | 0.8000 | 0.0159 | 194 | 3 |
0.8000 | 0.8172 | 0.0197 | 198 | 4 |
0.7500 | 0.8463 | 0.0281 | 205 | 6 |
0.7000 | 0.8582 | 0.0327 | 208 | 7 |
0.6500 | 0.8664 | 0.0369 | 210 | 8 |
0.6000 | 0.8817 | 0.0461 | 214 | 10 |
0.5500 | 0.8937 | 0.0542 | 217 | 12 |
0.5000 | 0.9046 | 0.0632 | 219 | 15 |
0.4500 | 0.9124 | 0.0710 | 221 | 17 |
0.4000 | 0.9266 | 0.0872 | 225 | 21 |
0.3500 | 0.9375 | 0.1020 | 227 | 26 |
0.3000 | 0.9471 | 0.1173 | 230 | 30 |
0.2500 | 0.9517 | 0.1264 | 231 | 33 |
0.2000 | 0.9597 | 0.1450 | 233 | 39 |
0.1500 | 0.9713 | 0.1827 | 235 | 53 |
0.1000 | 0.9798 | 0.2190 | 237 | 67 |
0.0500 | 0.9895 | 0.2906 | 240 | 98 |
0.0000 | 1.0000 | 0.8593 | 242 | 1480 |
Error Table | |||
Error_Rate | min_prob | num_correct | num_incorrect |
---|---|---|---|
0.0000 | 1.0000 | 6709 | 0 |
0.0001 | 0.9985 | 23929 | 2 |
0.0002 | 0.9970 | 25144 | 5 |
0.0003 | 0.9954 | 25875 | 8 |
0.0004 | 0.9938 | 26396 | 11 |
0.0005 | 0.9922 | 26800 | 13 |
0.0006 | 0.9906 | 27132 | 16 |
0.0007 | 0.9889 | 27413 | 19 |
0.0008 | 0.9875 | 27659 | 22 |
0.0009 | 0.9858 | 27879 | 25 |
0.0010 | 0.9844 | 28076 | 28 |
0.0015 | 0.9770 | 28854 | 43 |
0.0020 | 0.9696 | 29427 | 59 |
0.0025 | 0.9623 | 29879 | 75 |
0.0030 | 0.9552 | 30256 | 91 |
0.0040 | 0.9412 | 30860 | 124 |
0.0050 | 0.9270 | 31338 | 158 |
0.0060 | 0.9127 | 31730 | 192 |
0.0070 | 0.8992 | 32064 | 226 |
0.0080 | 0.8863 | 32355 | 261 |
0.0090 | 0.8738 | 32613 | 296 |
0.0100 | 0.8611 | 32846 | 332 |
0.0150 | 0.7996 | 33751 | 514 |
0.0200 | 0.7481 | 34394 | 702 |
0.0250 | 0.6985 | 34899 | 895 |
0.0300 | 0.6519 | 35309 | 1093 |
0.0400 | 0.5396 | 35926 | 1498 |
0.0500 | 0.4232 | 36309 | 1912 |
0.0750 | 0.2380 | 36822 | 2986 |
0.1000 | 0.1435 | 37080 | 4121 |
+2 only | |||
0.0000 | 1.0000 | 4096 | 0 |
0.0001 | 0.9986 | 14260 | 1 |
0.0002 | 0.9973 | 15061 | 3 |
0.0003 | 0.9958 | 15546 | 5 |
0.0004 | 0.9944 | 15894 | 6 |
0.0005 | 0.9928 | 16163 | 8 |
0.0006 | 0.9913 | 16383 | 10 |
0.0007 | 0.9897 | 16568 | 12 |
0.0008 | 0.9883 | 16729 | 13 |
0.0009 | 0.9868 | 16871 | 15 |
0.0010 | 0.9853 | 16999 | 17 |
0.0015 | 0.9783 | 17506 | 26 |
0.0020 | 0.9714 | 17879 | 36 |
0.0025 | 0.9648 | 18175 | 46 |
0.0030 | 0.9579 | 18423 | 56 |
0.0040 | 0.9435 | 18815 | 76 |
0.0050 | 0.9306 | 19122 | 96 |
0.0060 | 0.9173 | 19376 | 117 |
0.0070 | 0.9044 | 19592 | 138 |
0.0080 | 0.8917 | 19780 | 160 |
0.0090 | 0.8788 | 19948 | 181 |
0.0100 | 0.8685 | 20100 | 203 |
0.0150 | 0.8106 | 20694 | 315 |
0.0200 | 0.7580 | 21116 | 431 |
0.0250 | 0.7082 | 21444 | 550 |
0.0300 | 0.6602 | 21707 | 672 |
0.0400 | 0.5450 | 22098 | 922 |
0.0500 | 0.4130 | 22333 | 1176 |
0.0750 | 0.2169 | 22626 | 1835 |
0.1000 | 0.1262 | 22764 | 2530 |
+3 only | |||
0.0000 | 1.0000 | 2200 | 0 |
0.0001 | 0.9981 | 8342 | 1 |
0.0002 | 0.9961 | 8670 | 2 |
0.0003 | 0.9941 | 8859 | 3 |
0.0004 | 0.9920 | 8995 | 4 |
0.0005 | 0.9901 | 9101 | 5 |
0.0006 | 0.9886 | 9190 | 6 |
0.0007 | 0.9866 | 9268 | 7 |
0.0008 | 0.9846 | 9336 | 7 |
0.0009 | 0.9828 | 9396 | 8 |
0.0010 | 0.9813 | 9450 | 9 |
0.0015 | 0.9731 | 9669 | 15 |
0.0020 | 0.9640 | 9828 | 20 |
0.0025 | 0.9559 | 9954 | 25 |
0.0030 | 0.9489 | 10061 | 30 |
0.0040 | 0.9332 | 10235 | 41 |
0.0050 | 0.9165 | 10371 | 52 |
0.0060 | 0.9023 | 10483 | 63 |
0.0070 | 0.8868 | 10578 | 75 |
0.0080 | 0.8712 | 10661 | 86 |
0.0090 | 0.8571 | 10734 | 98 |
0.0100 | 0.8434 | 10800 | 109 |
0.0150 | 0.7765 | 11051 | 169 |
0.0200 | 0.7261 | 11238 | 230 |
0.0250 | 0.6814 | 11387 | 293 |
0.0300 | 0.6393 | 11512 | 356 |
0.0400 | 0.5266 | 11704 | 488 |
0.0500 | 0.4167 | 11822 | 623 |
0.0750 | 0.2518 | 11992 | 974 |
0.1000 | 0.1590 | 12085 | 1344 |
+4 only | |||
0.0000 | 1.0000 | 373 | 0 |
0.0001 | 0.9987 | 1213 | 0 |
0.0002 | 0.9974 | 1289 | 0 |
0.0003 | 0.9962 | 1334 | 0 |
0.0004 | 0.9951 | 1367 | 1 |
0.0005 | 0.9934 | 1393 | 1 |
0.0006 | 0.9923 | 1414 | 1 |
0.0007 | 0.9913 | 1433 | 1 |
0.0008 | 0.9897 | 1450 | 1 |
0.0009 | 0.9883 | 1464 | 1 |
0.0010 | 0.9875 | 1477 | 1 |
0.0015 | 0.9786 | 1526 | 2 |
0.0020 | 0.9710 | 1559 | 3 |
0.0025 | 0.9624 | 1583 | 4 |
0.0030 | 0.9566 | 1603 | 5 |
0.0040 | 0.9487 | 1638 | 7 |
0.0050 | 0.9343 | 1668 | 8 |
0.0060 | 0.9204 | 1691 | 10 |
0.0070 | 0.9051 | 1710 | 12 |
0.0080 | 0.8906 | 1726 | 14 |
0.0090 | 0.8779 | 1740 | 16 |
0.0100 | 0.8639 | 1754 | 18 |
0.0150 | 0.7996 | 1803 | 28 |
0.0200 | 0.7461 | 1836 | 38 |
0.0250 | 0.6884 | 1863 | 48 |
0.0300 | 0.6309 | 1883 | 59 |
0.0400 | 0.5457 | 1913 | 81 |
0.0500 | 0.4719 | 1936 | 103 |
0.0750 | 0.3205 | 1973 | 161 |
0.1000 | 0.2078 | 1994 | 223 |
+5 only | |||
0.0000 | 1.0000 | 46 | 0 |
0.0001 | 0.9994 | 91 | 0 |
0.0002 | 0.9984 | 103 | 0 |
0.0003 | 0.9978 | 110 | 0 |
0.0004 | 0.9969 | 115 | 0 |
0.0005 | 0.9962 | 119 | 0 |
0.0006 | 0.9960 | 123 | 0 |
0.0007 | 0.9946 | 126 | 0 |
0.0008 | 0.9944 | 128 | 0 |
0.0009 | 0.9935 | 131 | 0 |
0.0010 | 0.9925 | 133 | 0 |
0.0015 | 0.9881 | 142 | 0 |
0.0020 | 0.9857 | 148 | 0 |
0.0025 | 0.9817 | 154 | 0 |
0.0030 | 0.9758 | 157 | 1 |
0.0040 | 0.9692 | 164 | 1 |
0.0050 | 0.9606 | 169 | 1 |
0.0060 | 0.9487 | 174 | 1 |
0.0070 | 0.9450 | 177 | 1 |
0.0080 | 0.9303 | 180 | 2 |
0.0090 | 0.9242 | 182 | 2 |
0.0100 | 0.9155 | 185 | 2 |
0.0150 | 0.8732 | 194 | 3 |
0.0200 | 0.7989 | 200 | 4 |
0.0250 | 0.7868 | 204 | 5 |
0.0300 | 0.7403 | 207 | 7 |
0.0400 | 0.6272 | 212 | 10 |
0.0500 | 0.5828 | 216 | 12 |
0.0750 | 0.4481 | 222 | 19 |
0.1000 | 0.3592 | 228 | 26 |
peptideprophet | |
---|---|
time | 2017-02-20T13:18:37 |
author | AKeller@ISB |
est_tot_num_correct | 37496.8 |
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_24A.pep.xml |
database_refresh | |
time | 2017-02-20T13:18:25 |
interact | |
time | 2017-02-20T13:17:42 |
directory | /home/sean/Documents/proteome |
filename | /home/sean/Documents/proteome/interact-20161205_Sample_24A.pep.xml |
directory | /home/sean/Documents/proteome |
inputfile | 20161205_Sample_24A.pep.xml |
tpp_models | |
time | Mon Feb 20 13:20:55 2017 |