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6533b822fe1ef96bd127d839

RESEARCH PRODUCT

TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics

Yansheng LiuRuedi AebersoldRuedi AebersoldLars MalmströmLars MalmströmBen C. CollinsMatteo ZanellaGiuseppe D'agostinoLudovic C GilletGiuseppe TestaGiuseppe TestaHannes L. RöstGeorge RosenbergerGeorge RosenbergerPedro NavarroPedro Navarro

subject

Pluripotent Stem CellsProteomics0301 basic medicineAnalyteStreptococcus pyogenesSoftware toolQuantitative proteomicsProteomic analysisComputational biologyBiologyProteome informaticsProteomicsBioinformaticsBiochemistryArticleMass Spectrometry03 medical and health sciencesSequence Analysis ProteinProtein methodsHumansProtein PrecursorsHuman Induced Pluripotent Stem CellsMolecular BiologyElectronic Data ProcessingReproducibility of ResultsCell BiologyMass spectrometricTargeted proteomics030104 developmental biologyProteolysissense organsPeptidesSequence AlignmentAlgorithmsSoftwareBiotechnology

description

Nature Methods, 13 (9)

yearjournalcountryeditionlanguage
2016-08-01Nature Methods
10.1038/nmeth.3954http://dx.doi.org/10.1038/nmeth.3954
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