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animesh
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autonlp-data-peptides

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train · 352k rows

Sequence stringlengths 8 56	CCS float64 202 1.11k
AAAAAAAAAAAAAAAGAGAGAK	570.788572
AAAAAAAAAAAATGTEAGPGTAGGSENGSEVAAQPAGLSGPAEVGPGAVGER	1,026.680757
AAAAAAAAAAAATGTEAGPGTAGGSENGSEVAAQPAGLSGPAEVGPGAVGER	839.503218
AAAAAAAAAAAATGTEAGPGTAGGSENGSEVAAQPAGLSGPAEVGPGAVGER	852.281029
AAAAAAAAAAAATGTEAGPGTAGGSENGSEVAAQPAGLSGPAEVGPGAVGER	1,026.680491
AAAAAAAAAAAATGTEAGPGTAGGSENGSEVAAQPAGLSGPAEVGPGAVGER	872.346355
AAAAAAAAAAAATGTEAGPGTAGGSENGSEVAAQPAGLSGPAEVGPGAVGER	1,034.005676
AAAAAAAAAAGAAGGR	411.399061
AAAAAAAAAAGAAGGR	419.912247
AAAAAAAAAAGAAGGR	406.736957
AAAAAAAAAPAAAATAPTTAATTAATAAQ	562.405444
AAAAAAAAAPAAAATAPTTAATTAATAAQ	568.506691
AAAAAAAAAPAAAATAPTTAATTAATAAQ	702.202883
AAAAAAAAAPAAAATAPTTAATTAATAAQ	569.727087
AAAAAAAAAVSR	367.525984
AAAAAAAAEQQSSNGPVK	449.632284
AAAAAAAAGAFAGR	355.949183
AAAAAAAAGAFAGR	387.191081
AAAAAAAATMALAAPSSPTPESPTMLTK	592.579794
AAAAAAAAVPSAGPAGPAPTSAAGR	500.515607
AAAAAAAAVPSAGPAGPAPTSAAGR	505.420962
AAAAAAAAVPSAGPAGPAPTSAAGR	509.100148
AAAAAAAAVPSAGPAGPAPTSAAGR	511.551314
AAAAAAAGDSDSWDADAFSVEDPVR	567.103122
AAAAAAAGDSDSWDADAFSVEDPVRK	586.449721
AAAAAAAGDSDSWDADAFSVEDPVRK	586.449403
AAAAAAAGDSDSWDADAFSVEDPVRK	588.884214
AAAAAAAGDSDSWDADAFSVEDPVRK	591.319488
AAAAAAAGDSDSWDADAFSVEDPVRK	637.261724
AAAAAAAGDSDSWDADAFSVEDPVRK	591.319146
AAAAAAAGDSDSWDADAFSVEDPVRK	637.261776
AAAAAAALQAK	359.024821
AAAAAAALQAK	234.221044
AAAAAAALQAK	357.776655
AAAAAAGAASGLPGPVAQGLK	512.01845
AAAAAAGAASGLPGPVAQGLK	510.791465
AAAAAAGAASGLPGPVAQGLK	504.655076
AAAAAAGAASGLPGPVAQGLK	500.972724
AAAAAAGAASGLPGPVAQGLK	488.935532
AAAAAAGAGPEMVR	416.038976
AAAAAAGGGYTAMPAPMSVYSHPAHAEQYPGGMAR	724.835428
AAAAAAGGGYTAMPAPMSVYSHPAHAEQYPGGMAR	732.181346
AAAAAAGGGYTAMPAPMSVYSHPAHAEQYPGGMAR	870.779169
AAAAAAGPSPGSGPGDSPEGPEGEAPER	532.885416
AAAAAATAAAAASIR	435.787868
AAAAAATAAAAASIR	437.024352
AAAAAATAPPSPGPAQPGPR	444.457814
AAAAAATAPPSPGPAQPGPR	449.386898
AAAAAATAPPSPGPAQPGPR	445.689653
AAAAAEEGMEPR	388.848029
AAAAAEQQQFYLLLGNLLSPDNVVR	697.96074
AAAAAGAGSGPWAAQEK	457.238524
AAAAAGAGSGPWAAQEK	458.470548
AAAAAGAGSGPWAAQEK	463.400657
AAAAAGGAAAAAAR	388.352129
AAAAAGLGGGGAGPGPEAGDFLAR	532.338887
AAAAAGLGGGGAGPGPEAGDFLAR	532.338609
AAAAAGLGGGGAGPGPEAGDFLAR	604.904164
AAAAAGTATSQR	383.173512
AAAAALSQQQSLQER	434.992373
AAAAALSQQQSLQER	432.52332
AAAAALSQQQSLQER	345.853686
AAAAALSQQQSLQER	433.75779
AAAAAMAEQESAR	404.776909
AAAAAMAEQESAR	413.396966
AAAAAMAEQESAR	409.681392
AAAAAMAEQESAR	409.681515
AAAAAMAEQESAR	412.157295
AAAAASAAGPGGLVAGK	391.078432
AAAAASAAGPGGLVAGK	393.557713
AAAAASAPQQLSDEELFSQLR	617.507355
AAAAASASQDELNQLER	483.781847
AAAAASASQDELNQLER	492.383976
AAAAASHLNLDALR	435.352315
AAAAASHLNLDALR	439.059011
AAAAASHLNLDALR	439.058322
AAAAASHLNLDALR	435.352556
AAAAASHLNLDALR	432.881372
AAAAAWEEPSSGNGTAR	422.476322
AAAAAWEEPSSGNGTAR	421.24174
AAAAAWEEPSSGNGTAR	417.536237
AAAAAWEEPSSGNGTAR	427.417
AAAAAWEEPSSGNGTAR	424.946681
AAAAAWEEPSSGNGTAR	424.946934
AAAAAWEEPSSGNGTAR	426.18107
AAAAAWEEPSSGNGTAR	359.364792
AAAADSFSGGPAGVR	412.031881
AAAAECDVVMAATEPELLDDQEAK	560.886709
AAAAECDVVMAATEPELLDDQEAK	687.096058
AAAAECDVVMAATEPELLDDQEAK	568.205275
AAAAECDVVMAATEPELLDDQEAK	593.809429
AAAAECDVVMAATEPELLDDQEAK	573.100498
AAAAECDVVMAATEPELLDDQEAKR	699.799006
AAAAECDVVMAATEPELLDDQEAKR	586.325147
AAAAELSLLEK	373.067217
AAAAGAAAAAAAEGEAPAEMGALLLEK	711.292305
AAAAGAAAAAAAEGEAPAEMGALLLEK	709.450897
AAAAGAAAAAAAEGEAPAEMGALLLEK	592.789039
AAAAGAAAAAAAEGEAPAEMGALLLEK	711.291829
AAAAGAAAAAAAEGEAPAEMGALLLEK	711.266358

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Deep learning the collisional cross sections of the peptide universe from a million experimental values

Data generated from MaxQuant output

wget https://ftp.pride.ebi.ac.uk/pride/data/archive/2020/12/PXD017703/HeLa_200ng_Library_MaxQuant.zip
unzip HeLa_200ng_Library_MaxQuant.zip
awk -F '\t' '{print $1,",",$40}' evidence.txt > pepCCS.csv
wc pepCCS.csv
  352111  1056333 12736697 pepCCS.csv

Code

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Size of downloaded dataset files:

12.7 MB

Size of the auto-converted Parquet files:

5.49 MB

Number of rows:

352,110