+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 | 0.010832 |
pos_bandwidth | 0.010832 |
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 | 20086.2 |
num_iterations | 26 |
prior_probability | 0.580 |
tot_num_spectra | 47695 |
Comet discrim score [fval] negmean: -2.09 | |
pos model | gaussian (mean 2.82, stdev 2.10) |
neg model | gaussian (mean -1.00, stdev 1.09) |
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 0.935, 1<=nmc<=2 0.065, nmc>=3 0.000) |
neg model | (nmc=0 0.499, 1<=nmc<=2 0.500, nmc>=3 0.001) |
Accurate Mass Model | |
neg_bandwidth | 0.010832 |
pos_bandwidth | 0.010832 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.033, 0 0.852, 1 0.106, 2 0.008, 3 0.000) |
neg model | (-3 0.000, -2 0.000, -1 0.307, 0 0.317, 1 0.163, 2 0.116, 3 0.097) |
+3 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 12139.4 |
num_iterations | 26 |
prior_probability | 0.528 |
tot_num_spectra | 33399 |
Comet discrim score [fval] negmean: -1.65 | |
pos model | gaussian (mean 3.97, stdev 2.49) |
neg model | gaussian (mean -0.60, stdev 1.05) |
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 0.979) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.821, 1<=nmc<=2 0.179, nmc>=3 0.000) |
neg model | (nmc=0 0.294, 1<=nmc<=2 0.699, nmc>=3 0.008) |
Accurate Mass Model | |
neg_bandwidth | 0.010832 |
pos_bandwidth | 0.010832 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.024, 0 0.770, 1 0.152, 2 0.047, 3 0.007) |
neg model | (-3 0.000, -2 0.000, -1 0.233, 0 0.228, 1 0.201, 2 0.173, 3 0.166) |
+4 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 2264.8 |
num_iterations | 28 |
prior_probability | 0.449 |
tot_num_spectra | 7736 |
Comet discrim score [fval] negmean: -2.05 | |
pos model | gaussian (mean 1.85, stdev 1.53) |
neg model | gaussian (mean -1.23, stdev 0.82) |
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 0.979) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.655, 1<=nmc<=2 0.345, nmc>=3 0.000) |
neg model | (nmc=0 0.201, 1<=nmc<=2 0.782, nmc>=3 0.018) |
Accurate Mass Model | |
neg_bandwidth | 0.010832 |
pos_bandwidth | 0.010832 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.020, 0 0.789, 1 0.148, 2 0.038, 3 0.005) |
neg model | (-3 0.000, -2 0.000, -1 0.230, 0 0.214, 1 0.206, 2 0.180, 3 0.169) |
+5 Models | |
comments | using no. tolerable trypsin term. [ntt] 0 data as pseudonegatives |
est_tot_correct | 297.4 |
num_iterations | 27 |
prior_probability | 0.258 |
tot_num_spectra | 1993 |
Comet discrim score [fval] negmean: -2.90 | |
pos model | gaussian (mean 1.62, stdev 1.53) |
neg model | gaussian (mean -1.75, 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 0.023, ntt=2 0.977) |
no. missed enz. cleavages [nmc] | |
pos model | (nmc=0 0.523, 1<=nmc<=2 0.477, nmc>=3 0.000) |
neg model | (nmc=0 0.147, 1<=nmc<=2 0.832, nmc>=3 0.021) |
Accurate Mass Model | |
neg_bandwidth | 0.010832 |
pos_bandwidth | 0.010832 |
isotopic peak mass difference [IsoMassDiff] | |
pos model | (-3 0.000, -2 0.000, -1 0.007, 0 0.830, 1 0.151, 2 0.005, 3 0.007) |
neg model | (-3 0.000, -2 0.000, -1 0.217, 0 0.194, 1 0.202, 2 0.199, 3 0.188) |
+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 | 0.010832 |
pos_bandwidth | 0.010832 |
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 | 0.010832 |
pos_bandwidth | 0.010832 |
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_44 | |
---|---|
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_44 |
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 | 2017-02-20T14:16:03 (id: 1) |
database_refresh | 2017-02-20T14:15:51 (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 | 0.5130 | 0.0000 | 17846 | 0 |
0.9990 | 0.5975 | 0.0001 | 20787 | 2 |
0.9900 | 0.7079 | 0.0007 | 24628 | 17 |
0.9800 | 0.7445 | 0.0014 | 25901 | 36 |
0.9500 | 0.7983 | 0.0036 | 27771 | 100 |
0.9000 | 0.8426 | 0.0075 | 29311 | 220 |
0.8500 | 0.8713 | 0.0118 | 30312 | 361 |
0.8000 | 0.8931 | 0.0165 | 31069 | 521 |
0.7500 | 0.9106 | 0.0216 | 31677 | 698 |
0.7000 | 0.9250 | 0.0268 | 32178 | 887 |
0.6500 | 0.9380 | 0.0327 | 32630 | 1104 |
0.6000 | 0.9471 | 0.0378 | 32949 | 1293 |
0.5500 | 0.9545 | 0.0428 | 33206 | 1483 |
0.5000 | 0.9597 | 0.0470 | 33386 | 1645 |
0.4500 | 0.9648 | 0.0520 | 33563 | 1842 |
0.4000 | 0.9691 | 0.0571 | 33711 | 2042 |
0.3500 | 0.9731 | 0.0631 | 33853 | 2279 |
0.3000 | 0.9771 | 0.0701 | 33990 | 2564 |
0.2500 | 0.9806 | 0.0781 | 34114 | 2889 |
0.2000 | 0.9842 | 0.0885 | 34239 | 3325 |
0.1500 | 0.9881 | 0.1037 | 34374 | 3975 |
0.1000 | 0.9921 | 0.1255 | 34512 | 4951 |
0.0500 | 0.9961 | 0.1625 | 34651 | 6722 |
0.0000 | 1.0000 | 0.6170 | 34788 | 56035 |
+2 only | ||||
0.9999 | 0.4793 | 0.0000 | 9627 | 0 |
0.9990 | 0.5719 | 0.0001 | 11487 | 1 |
0.9900 | 0.6961 | 0.0008 | 13983 | 11 |
0.9800 | 0.7356 | 0.0015 | 14776 | 23 |
0.9500 | 0.7947 | 0.0040 | 15963 | 64 |
0.9000 | 0.8423 | 0.0081 | 16918 | 138 |
0.8500 | 0.8730 | 0.0127 | 17535 | 225 |
0.8000 | 0.8964 | 0.0177 | 18005 | 324 |
0.7500 | 0.9152 | 0.0231 | 18384 | 434 |
0.7000 | 0.9296 | 0.0283 | 18673 | 543 |
0.6500 | 0.9423 | 0.0339 | 18927 | 665 |
0.6000 | 0.9515 | 0.0390 | 19111 | 775 |
0.5500 | 0.9595 | 0.0443 | 19273 | 893 |
0.5000 | 0.9646 | 0.0484 | 19375 | 985 |
0.4500 | 0.9690 | 0.0527 | 19463 | 1084 |
0.4000 | 0.9728 | 0.0572 | 19540 | 1186 |
0.3500 | 0.9761 | 0.0621 | 19606 | 1298 |
0.3000 | 0.9797 | 0.0687 | 19679 | 1452 |
0.2500 | 0.9827 | 0.0754 | 19739 | 1610 |
0.2000 | 0.9858 | 0.0843 | 19801 | 1823 |
0.1500 | 0.9889 | 0.0969 | 19864 | 2131 |
0.1000 | 0.9926 | 0.1175 | 19938 | 2655 |
0.0500 | 0.9965 | 0.1543 | 20016 | 3653 |
0.0000 | 1.0000 | 0.5789 | 20086 | 27609 |
+3 only | ||||
0.9999 | 0.5828 | 0.0000 | 7075 | 0 |
0.9990 | 0.6512 | 0.0001 | 7906 | 0 |
0.9900 | 0.7369 | 0.0005 | 8945 | 5 |
0.9800 | 0.7673 | 0.0011 | 9314 | 10 |
0.9500 | 0.8112 | 0.0029 | 9848 | 28 |
0.9000 | 0.8493 | 0.0062 | 10309 | 65 |
0.8500 | 0.8759 | 0.0102 | 10632 | 110 |
0.8000 | 0.8943 | 0.0142 | 10856 | 157 |
0.7500 | 0.9098 | 0.0188 | 11044 | 212 |
0.7000 | 0.9243 | 0.0243 | 11220 | 279 |
0.6500 | 0.9379 | 0.0305 | 11385 | 358 |
0.6000 | 0.9466 | 0.0353 | 11491 | 420 |
0.5500 | 0.9522 | 0.0391 | 11559 | 471 |
0.5000 | 0.9569 | 0.0430 | 11616 | 522 |
0.4500 | 0.9626 | 0.0488 | 11686 | 599 |
0.4000 | 0.9669 | 0.0540 | 11738 | 670 |
0.3500 | 0.9716 | 0.0608 | 11794 | 763 |
0.3000 | 0.9756 | 0.0680 | 11843 | 864 |
0.2500 | 0.9794 | 0.0767 | 11889 | 988 |
0.2000 | 0.9833 | 0.0880 | 11937 | 1151 |
0.1500 | 0.9879 | 0.1055 | 11992 | 1415 |
0.1000 | 0.9920 | 0.1280 | 12042 | 1768 |
0.0500 | 0.9958 | 0.1634 | 12088 | 2361 |
0.0000 | 1.0000 | 0.6365 | 12139 | 21260 |
+4 only | ||||
0.9999 | 0.4751 | 0.0000 | 1076 | 0 |
0.9990 | 0.5700 | 0.0001 | 1291 | 0 |
0.9900 | 0.6852 | 0.0007 | 1552 | 1 |
0.9800 | 0.7274 | 0.0015 | 1647 | 3 |
0.9500 | 0.7829 | 0.0038 | 1773 | 7 |
0.9000 | 0.8267 | 0.0078 | 1872 | 15 |
0.8500 | 0.8484 | 0.0111 | 1921 | 22 |
0.8000 | 0.8738 | 0.0169 | 1979 | 34 |
0.7500 | 0.8892 | 0.0214 | 2014 | 44 |
0.7000 | 0.9014 | 0.0260 | 2042 | 54 |
0.6500 | 0.9139 | 0.0319 | 2070 | 68 |
0.6000 | 0.9238 | 0.0376 | 2092 | 82 |
0.5500 | 0.9345 | 0.0449 | 2117 | 99 |
0.5000 | 0.9422 | 0.0512 | 2134 | 115 |
0.4500 | 0.9490 | 0.0578 | 2149 | 132 |
0.4000 | 0.9555 | 0.0656 | 2164 | 152 |
0.3500 | 0.9618 | 0.0746 | 2178 | 176 |
0.3000 | 0.9670 | 0.0836 | 2190 | 200 |
0.2500 | 0.9726 | 0.0957 | 2203 | 233 |
0.2000 | 0.9783 | 0.1116 | 2216 | 278 |
0.1500 | 0.9842 | 0.1327 | 2229 | 341 |
0.1000 | 0.9892 | 0.1590 | 2240 | 424 |
0.0500 | 0.9943 | 0.2014 | 2252 | 568 |
0.0000 | 1.0000 | 0.7072 | 2265 | 5471 |
+5 only | ||||
0.9999 | 0.2286 | 0.0000 | 68 | 0 |
0.9990 | 0.3496 | 0.0002 | 104 | 0 |
0.9900 | 0.4971 | 0.0012 | 148 | 0 |
0.9800 | 0.5500 | 0.0025 | 164 | 0 |
0.9500 | 0.6279 | 0.0067 | 187 | 1 |
0.9000 | 0.7092 | 0.0145 | 211 | 3 |
0.8500 | 0.7504 | 0.0211 | 223 | 5 |
0.8000 | 0.7698 | 0.0257 | 229 | 6 |
0.7500 | 0.7907 | 0.0323 | 235 | 8 |
0.7000 | 0.8175 | 0.0428 | 243 | 11 |
0.6500 | 0.8335 | 0.0503 | 248 | 13 |
0.6000 | 0.8544 | 0.0623 | 254 | 17 |
0.5500 | 0.8660 | 0.0702 | 258 | 19 |
0.5000 | 0.8782 | 0.0803 | 261 | 23 |
0.4500 | 0.8910 | 0.0925 | 265 | 27 |
0.4000 | 0.9070 | 0.1097 | 270 | 33 |
0.3500 | 0.9249 | 0.1322 | 275 | 42 |
0.3000 | 0.9347 | 0.1473 | 278 | 48 |
0.2500 | 0.9489 | 0.1724 | 282 | 59 |
0.2000 | 0.9614 | 0.2014 | 286 | 72 |
0.1500 | 0.9726 | 0.2327 | 289 | 88 |
0.1000 | 0.9805 | 0.2636 | 292 | 104 |
0.0500 | 0.9898 | 0.3233 | 294 | 141 |
0.0000 | 1.0000 | 0.8508 | 297 | 1696 |
Error Table | |||
Error_Rate | min_prob | num_correct | num_incorrect |
---|---|---|---|
0.0000 | 1.0000 | 6232 | 0 |
0.0001 | 0.9986 | 21229 | 2 |
0.0002 | 0.9972 | 22395 | 4 |
0.0003 | 0.9958 | 23097 | 7 |
0.0004 | 0.9944 | 23612 | 9 |
0.0005 | 0.9930 | 24018 | 12 |
0.0006 | 0.9915 | 24353 | 15 |
0.0007 | 0.9899 | 24637 | 17 |
0.0008 | 0.9886 | 24881 | 20 |
0.0009 | 0.9871 | 25099 | 23 |
0.0010 | 0.9855 | 25294 | 25 |
0.0015 | 0.9782 | 26058 | 39 |
0.0020 | 0.9713 | 26607 | 53 |
0.0025 | 0.9643 | 27044 | 68 |
0.0030 | 0.9576 | 27407 | 83 |
0.0040 | 0.9446 | 27993 | 112 |
0.0050 | 0.9314 | 28458 | 143 |
0.0060 | 0.9191 | 28845 | 174 |
0.0070 | 0.9061 | 29174 | 206 |
0.0080 | 0.8935 | 29461 | 238 |
0.0090 | 0.8824 | 29716 | 270 |
0.0100 | 0.8711 | 29948 | 303 |
0.0150 | 0.8153 | 30854 | 470 |
0.0200 | 0.7643 | 31506 | 643 |
0.0250 | 0.7180 | 32017 | 821 |
0.0300 | 0.6751 | 32433 | 1004 |
0.0400 | 0.5770 | 33071 | 1379 |
0.0500 | 0.4691 | 33497 | 1764 |
0.0750 | 0.2707 | 34070 | 2763 |
0.1000 | 0.1601 | 34345 | 3818 |
+2 only | |||
0.0000 | 1.0000 | 3556 | 0 |
0.0001 | 0.9988 | 11634 | 1 |
0.0002 | 0.9975 | 12386 | 2 |
0.0003 | 0.9963 | 12833 | 4 |
0.0004 | 0.9950 | 13161 | 5 |
0.0005 | 0.9938 | 13420 | 7 |
0.0006 | 0.9926 | 13637 | 8 |
0.0007 | 0.9913 | 13823 | 10 |
0.0008 | 0.9900 | 13984 | 11 |
0.0009 | 0.9887 | 14125 | 13 |
0.0010 | 0.9874 | 14253 | 14 |
0.0015 | 0.9806 | 14745 | 22 |
0.0020 | 0.9741 | 15095 | 30 |
0.0025 | 0.9679 | 15373 | 39 |
0.0030 | 0.9615 | 15602 | 47 |
0.0040 | 0.9497 | 15972 | 64 |
0.0050 | 0.9378 | 16268 | 82 |
0.0060 | 0.9260 | 16513 | 100 |
0.0070 | 0.9130 | 16723 | 118 |
0.0080 | 0.9013 | 16903 | 136 |
0.0090 | 0.8896 | 17063 | 155 |
0.0100 | 0.8784 | 17206 | 174 |
0.0150 | 0.8276 | 17771 | 271 |
0.0200 | 0.7770 | 18180 | 371 |
0.0250 | 0.7322 | 18500 | 475 |
0.0300 | 0.6873 | 18757 | 581 |
0.0400 | 0.5913 | 19147 | 798 |
0.0500 | 0.4796 | 19411 | 1022 |
0.0750 | 0.2528 | 19737 | 1601 |
0.1000 | 0.1413 | 19877 | 2210 |
+3 only | |||
0.0000 | 1.0000 | 2205 | 0 |
0.0001 | 0.9981 | 8148 | 1 |
0.0002 | 0.9963 | 8467 | 2 |
0.0003 | 0.9946 | 8671 | 3 |
0.0004 | 0.9926 | 8816 | 4 |
0.0005 | 0.9906 | 8928 | 4 |
0.0006 | 0.9886 | 9017 | 5 |
0.0007 | 0.9869 | 9094 | 6 |
0.0008 | 0.9849 | 9160 | 7 |
0.0009 | 0.9834 | 9221 | 8 |
0.0010 | 0.9813 | 9276 | 9 |
0.0015 | 0.9724 | 9488 | 14 |
0.0020 | 0.9643 | 9645 | 19 |
0.0025 | 0.9561 | 9769 | 25 |
0.0030 | 0.9484 | 9874 | 30 |
0.0040 | 0.9321 | 10042 | 40 |
0.0050 | 0.9189 | 10177 | 51 |
0.0060 | 0.9029 | 10289 | 62 |
0.0070 | 0.8898 | 10385 | 73 |
0.0080 | 0.8796 | 10471 | 85 |
0.0090 | 0.8682 | 10550 | 96 |
0.0100 | 0.8526 | 10621 | 107 |
0.0150 | 0.7896 | 10892 | 166 |
0.0200 | 0.7379 | 11086 | 227 |
0.0250 | 0.6940 | 11242 | 289 |
0.0300 | 0.6532 | 11375 | 352 |
0.0400 | 0.5368 | 11574 | 483 |
0.0500 | 0.4359 | 11699 | 617 |
0.0750 | 0.2615 | 11882 | 964 |
0.1000 | 0.1643 | 11976 | 1332 |
+4 only | |||
0.0000 | 1.0000 | 420 | 0 |
0.0001 | 0.9988 | 1308 | 0 |
0.0002 | 0.9977 | 1396 | 0 |
0.0003 | 0.9961 | 1448 | 0 |
0.0004 | 0.9944 | 1479 | 1 |
0.0005 | 0.9932 | 1504 | 1 |
0.0006 | 0.9920 | 1527 | 1 |
0.0007 | 0.9904 | 1546 | 1 |
0.0008 | 0.9897 | 1562 | 1 |
0.0009 | 0.9888 | 1578 | 1 |
0.0010 | 0.9872 | 1591 | 2 |
0.0015 | 0.9800 | 1646 | 2 |
0.0020 | 0.9736 | 1684 | 3 |
0.0025 | 0.9678 | 1715 | 4 |
0.0030 | 0.9632 | 1741 | 5 |
0.0040 | 0.9468 | 1782 | 7 |
0.0050 | 0.9320 | 1812 | 9 |
0.0060 | 0.9180 | 1837 | 11 |
0.0070 | 0.9096 | 1858 | 13 |
0.0080 | 0.8972 | 1877 | 15 |
0.0090 | 0.8834 | 1894 | 17 |
0.0100 | 0.8704 | 1909 | 19 |
0.0150 | 0.8100 | 1963 | 30 |
0.0200 | 0.7678 | 2005 | 41 |
0.0250 | 0.7097 | 2037 | 53 |
0.0300 | 0.6641 | 2063 | 64 |
0.0400 | 0.5821 | 2102 | 88 |
0.0500 | 0.5066 | 2132 | 113 |
0.0750 | 0.3484 | 2179 | 178 |
0.1000 | 0.2355 | 2207 | 246 |
+5 only | |||
0.0000 | 1.0000 | 57 | 0 |
0.0001 | 0.9995 | 94 | 0 |
0.0002 | 0.9986 | 109 | 0 |
0.0003 | 0.9982 | 117 | 0 |
0.0004 | 0.9976 | 124 | 0 |
0.0005 | 0.9965 | 129 | 0 |
0.0006 | 0.9959 | 133 | 0 |
0.0007 | 0.9955 | 137 | 0 |
0.0008 | 0.9949 | 140 | 0 |
0.0009 | 0.9939 | 143 | 0 |
0.0010 | 0.9930 | 146 | 0 |
0.0015 | 0.9873 | 154 | 0 |
0.0020 | 0.9845 | 160 | 0 |
0.0025 | 0.9805 | 165 | 0 |
0.0030 | 0.9736 | 168 | 1 |
0.0040 | 0.9677 | 175 | 1 |
0.0050 | 0.9597 | 180 | 1 |
0.0060 | 0.9555 | 185 | 1 |
0.0070 | 0.9458 | 190 | 1 |
0.0080 | 0.9437 | 193 | 2 |
0.0090 | 0.9367 | 197 | 2 |
0.0100 | 0.9315 | 200 | 2 |
0.0150 | 0.8976 | 214 | 3 |
0.0200 | 0.8607 | 222 | 5 |
0.0250 | 0.8161 | 229 | 6 |
0.0300 | 0.7616 | 234 | 8 |
0.0400 | 0.7134 | 242 | 11 |
0.0500 | 0.6517 | 249 | 13 |
0.0750 | 0.5176 | 260 | 22 |
0.1000 | 0.4424 | 268 | 30 |
peptideprophet | |
---|---|
time | 2017-02-20T14:16:03 |
author | AKeller@ISB |
est_tot_num_correct | 34787.8 |
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_44.pep.xml |
database_refresh | |
time | 2017-02-20T14:15:51 |
interact | |
time | 2017-02-20T14:15:10 |
directory | /home/sean/Documents/proteome |
filename | /home/sean/Documents/proteome/interact-20161205_Sample_44.pep.xml |
directory | /home/sean/Documents/proteome |
inputfile | 20161205_Sample_44.pep.xml |
tpp_models | |
time | Mon Feb 20 14:18:08 2017 |