gnps_motif_67.m2m (GNPS library derived Mass2Motifs)

  • Motif name: gnps_motif_67.m2m
  • Motif set name: GNPS library derived Mass2Motifs
  • Annotation: genistein related
  • Short annotation: genistein related
  • Comment: Derived from gnps_binned_005 ms2lda experiment id=191
  • Original motif: motif_67 (gnps_binned_005)
Feature Probability
fragment_271.0575 0.121902178905
loss_110.0725 0.0622045984078
fragment_357.1325 0.0412585047616
fragment_313.1925 0.0380291408001
fragment_203.1175 0.0357019303485
fragment_539.0975 0.0265614393019
fragment_888.6125 0.0191233322878
fragment_538.6225 0.0191233322878
loss_50.5175 0.0191233322878
fragment_193.0075 0.0191228506486
fragment_407.5275 0.0180142899194
loss_181.6175 0.0180142899194
fragment_165.0175 0.0165966025184
fragment_889.6175 0.0152799268385
fragment_377.0675 0.0139986313539
loss_162.0325 0.0139122355955
loss_99.1025 0.0135589990254
fragment_358.1325 0.0128700810516
loss_118.0425 0.0115318930356
loss_98.1025 0.00969647215594
fragment_790.5125 0.00969647215594
loss_182.3925 0.00870215830836
loss_59.8875 0.00839621558603
fragment_540.0975 0.00831960482969
fragment_272.0675 0.00799836892157
fragment_344.0225 0.00797554434282
loss_36.0225 0.00746457857794
fragment_253.0475 0.00720450325378
fragment_135.1025 0.00709191167613
loss_152.0125 0.00699405901285
loss_74.0075 0.00682820733452
fragment_314.1925 0.00638830370505
fragment_508.2025 0.00636934505057
loss_80.9425 0.00636934505057
fragment_197.0525 0.00623549510955
loss_60.7525 0.00613988800882
fragment_528.3875 0.00613988800882
fragment_569.2575 0.00543239546343
loss_19.8875 0.00543239546343
loss_109.0725 0.00537343617026
fragment_359.1225 0.00527793485426
fragment_204.1225 0.00510716124469
fragment_304.6275 0.00501172422022
fragment_419.0775 0.00478210688932
loss_120.0225 0.00478210449841
fragment_387.0825 0.00470562120987
loss_54.0325 0.00463092329646
fragment_521.0875 0.00462925043907
fragment_265.0475 0.0045983903723
fragment_256.0875 0.00457193155687
fragment_345.1475 0.00445720303599
loss_42.7375 0.00439983877555
loss_26.8925 0.00439983877555
fragment_388.4875 0.00434247451512
loss_172.1225 0.00409389605322
fragment_417.0225 0.00409389605322
fragment_547.9775 0.00407477463307
loss_41.1675 0.00407477463307
fragment_287.0525 0.00396817960378
fragment_121.0275 0.00396424794388
fragment_307.0575 0.00388662827075
loss_191.7575 0.00369234623016
fragment_397.3875 0.00369234623016
fragment_347.8625 0.00361586054957
loss_161.0275 0.00359657886319
fragment_378.0675 0.00359657886319
loss_118.9275 0.00355849628914
fragment_470.2175 0.00355849628914
fragment_272.0625 0.00345280536811
fragment_436.5975 0.00344376776826
loss_152.5475 0.00344376776826
fragment_431.1225 0.00342464634812
loss_158.0125 0.00342464634812
loss_99.7925 0.00340552492797
fragment_489.3525 0.00340552492797
fragment_265.7625 0.00336728208768
fragment_243.0625 0.00331300755558
loss_173.1775 0.00315694646607
fragment_415.9625 0.00315694646607
fragment_335.0575 0.00289163603056
loss_181.1125 0.00283156114097
fragment_301.3425 0.00281276090345
fragment_237.2425 0.0027936394833
fragment_312.6925 0.00267891096243
loss_82.1125 0.00252593960126
fragment_507.0325 0.00252593960126
loss_164.5525 0.00244945392068
fragment_347.0525 0.00244929369772
loss_138.0675 0.00239556706274
loss_35.0175 0.00235380133843
fragment_289.0625 0.00233426724376
loss_21.1975 0.00227736113937
fragment_567.9425 0.00227736113937
fragment_273.0675 0.00226039468999
loss_167.0925 0.00224838606534
fragment_357.5975 0.00221999687893
fragment_326.3725 0.00220087545878
fragment_146.0975 0.00218283397124
fragment_581.9075 0.00218175403864
fragment_266.9725 0.00216263261849
loss_120.0875 0.00214445352909
loss_69.5225 0.00214351119835
fragment_519.6225 0.00214351119835
fragment_469.0575 0.0021243897782
fragment_303.7725 0.00210526835805
fragment_471.2175 0.00206702551776
loss_117.9325 0.00206702551776
loss_42.0175 0.00204796888853
fragment_333.8175 0.00204790409762
loss_62.3075 0.00204790409762
fragment_526.8375 0.00204790409762
fragment_497.0825 0.00202862248264
fragment_346.5625 0.00199053983718
fragment_493.0775 0.00199049448403
loss_82.0275 0.00199049448403
loss_129.9925 0.00198231603495
fragment_235.1075 0.00197141841703
loss_156.3875 0.00195229699689
fragment_432.7575 0.00195229699689
fragment_251.0575 0.0019140541566
fragment_305.3375 0.0019140541566
fragment_306.7575 0.00185668989616
loss_175.7975 0.00179932563572
fragment_413.3475 0.00179932563572
fragment_284.3775 0.00179932563572
fragment_396.6125 0.00176108279543
fragment_338.3475 0.00176108279543
loss_192.5325 0.00176108279543
loss_192.0425 0.00170562679827
fragment_319.0625 0.00170526221343
loss_79.2875 0.00162723285441
fragment_509.8525 0.00162723285441
loss_138.0325 0.00162701601252
fragment_209.0375 0.00160811143426
fragment_401.0675 0.00160795128229
fragment_520.4525 0.00158899001412
loss_68.6925 0.00158899001412
loss_151.0125 0.00158882986463
fragment_388.0875 0.00158882986463
fragment_252.1025 0.00155074717383
loss_121.1675 0.00155074717383
fragment_467.9775 0.00155074717383
fragment_541.0975 0.00155063121941
fragment_404.0525 0.00155058702949
loss_53.0275 0.00153158041371
fragment_522.0925 0.00153158041371
fragment_335.3775 0.00151250433353
fragment_283.0625 0.00150476305109
fragment_379.9275 0.00147426149324
loss_96.0425 0.00147426149324
loss_56.3675 0.00147426149324
fragment_532.7775 0.00147426149324
fragment_341.5525 0.0014551400731
fragment_324.3625 0.00143601865295
fragment_421.0575 0.00143585852574
loss_88.8175 0.00137865439251
fragment_500.3275 0.00137865439251
fragment_550.3475 0.00135953297237
loss_38.7975 0.00135953297237
fragment_241.0475 0.00135863638775
fragment_513.5475 0.00132129013208
loss_75.5975 0.00132129013208

Please note: the following plots both show relative intensity such that the biggest feature (fragment / loss) has a value of 100%. For the absolute values, please see the table above.

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