urine_mass2motif_41.m2m (Urine derived Mass2Motifs)

  • Motif name: urine_mass2motif_41.m2m
  • Motif set name: Urine derived Mass2Motifs
  • Annotation: Multiple losses
  • Short annotation: Multiple losses
  • Comment: Derived from Urine ms2lda experiment id=93
  • Resolver: mzspec:MOTIFDB::accession:150965
Feature Probability
loss_130.0575 0.370870090078266
fragment_164.1175 0.0679306964123222
fragment_253.1675 0.0546548818755788
loss_104.0525 0.0445497696797407
fragment_105.0425 0.0248588839760248
fragment_202.1075 0.0183956477352799
fragment_60.0825 0.016676070252634
fragment_220.1175 0.0141936254530938
loss_148.0675 0.0128474967846963
loss_199.9775 0.0112982126244406
fragment_211.1175 0.010966819046466
fragment_165.1175 0.0107514331088243
fragment_172.0775 0.00987347547491223
loss_126.9075 0.00953569306186417
fragment_254.1675 0.00953569306186417
fragment_179.1275 0.00932583222501718
fragment_184.0975 0.00925988497175033
loss_127.0725 0.00892024995308896
fragment_87.0325 0.00873311891734994
fragment_229.1225 0.00856194588268702
loss_77.0825 0.00831458602365349
loss_62.0275 0.00756561578208969
loss_60.0775 0.00709354382811551
fragment_223.1575 0.00677079181213274
loss_122.0925 0.00671269224048777
fragment_70.0275 0.00655728404201142
fragment_116.0325 0.00649164646016813
fragment_95.0475 0.00643668317907262
fragment_102.0925 0.00633569678177592
fragment_165.1125 0.00579682984713676
loss_106.0375 0.00501613238068009
fragment_98.0225 0.00451047544603588
loss_134.5875 0.00446264141552682
fragment_67.0525 0.00430178776739714
fragment_410.2475 0.00429294660261389
loss_79.0875 0.00413988354078926
loss_153.0625 0.00374083892642048
fragment_104.0425 0.0032386881279464
loss_121.0225 0.00321730415076159
loss_40.9225 0.00320233397128487
fragment_150.1025 0.00313234192383056
fragment_209.1425 0.0031285609000609
fragment_104.0975 0.00308306272255311
loss_79.0925 0.00292798058546853
fragment_210.1475 0.00292727596779495
loss_78.0875 0.00285331733689927
loss_107.0825 0.00281449593835673
fragment_301.1675 0.00264566868573169
loss_125.0675 0.00261024149907395
fragment_280.1775 0.00250554392311919
fragment_106.0475 0.0024634245867977
fragment_267.1425 0.00244390398735094
fragment_103.0775 0.00235092129976024
fragment_208.1325 0.00231502328649905
fragment_193.1425 0.00208844517306192
fragment_56.0125 0.0019438847653903
fragment_96.0575 0.00194251466584391
fragment_114.0525 0.00193519192861812
loss_45.1025 0.00191212504174713
fragment_254.1725 0.00179730792476718
loss_160.0675 0.00179509908510645
fragment_152.1175 0.00155552470026152
loss_103.1075 0.00153459389741222
loss_61.0175 0.00152244510262437
fragment_125.1075 0.00150883871233178
loss_90.0675 0.00143084261853009
loss_46.9975 0.00138974642590355
fragment_401.2475 0.00138057118147997
fragment_119.0175 0.00136356311457686
loss_42.0775 0.00135290045642443
loss_95.0225 0.00134766676563357
loss_137.9725 0.00132620691600764
loss_92.0275 0.00131824385693303
loss_70.0725 0.00130912155496357
fragment_229.0825 0.00130391319178106
loss_17.0725 0.00122198675180635
loss_17.0675 0.00122197517904806
fragment_206.1375 0.00114233123593302
loss_178.0975 0.00106735012562553
fragment_59.0375 0.00102416918386459
loss_123.0125 0.0010218632678993
loss_141.0925 0.00101729401073169
fragment_69.0425 0.00100062828205616

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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