000 01307 a2200373 4500
005 20250515004714.0
264 0 _c20060410
008 200604s 0 0 eng d
022 _a1087-0156
024 7 _a10.1038/nbt1146
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aSchwartz, Daniel
245 0 0 _aAn iterative statistical approach to the identification of protein phosphorylation motifs from large-scale data sets.
_h[electronic resource]
260 _bNature biotechnology
_cNov 2005
300 _a1391-8 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, N.I.H., Extramural
650 0 4 _aAlgorithms
650 0 4 _aAmino Acid Motifs
650 0 4 _aBiotechnology
_xmethods
650 0 4 _aComputational Biology
_xmethods
650 0 4 _aData Interpretation, Statistical
650 0 4 _aInternet
650 0 4 _aMass Spectrometry
650 0 4 _aModels, Statistical
650 0 4 _aPeptide Mapping
650 0 4 _aPhosphorylation
650 0 4 _aProgramming Languages
650 0 4 _aProteins
_xchemistry
650 0 4 _aSequence Analysis, Protein
_xmethods
650 0 4 _aSoftware
700 1 _aGygi, Steven P
773 0 _tNature biotechnology
_gvol. 23
_gno. 11
_gp. 1391-8
856 4 0 _uhttps://doi.org/10.1038/nbt1146
_zAvailable from publisher's website
999 _c15898218
_d15898218