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 Navarrosubject
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 AlignmentAlgorithmsSoftwareBiotechnologydescription
Nature Methods, 13 (9)
year | journal | country | edition | language |
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2016-08-01 | Nature Methods |