PredRet: prediction of retention time by direct mapping between multiple chromatographic systems.
暂无分享,去创建一个
[1] Janusz Pawliszyn,et al. Quantitative structure-retention relationships models for prediction of high performance liquid chromatography retention time of small molecules: endogenous metabolites and banned compounds. , 2013, Analytica chimica acta.
[2] Florian Rasche,et al. Computing fragmentation trees from tandem mass spectrometry data. , 2011, Analytical chemistry.
[3] S. Wood. Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models , 2011 .
[4] David S. Wishart,et al. Development of Ecom50 and Retention Index Models for Nontargeted Metabolomics: Identification of 1, 3-Dicyclohexylurea in Human Serum by HPLC/Mass Spectrometry , 2012, J. Chem. Inf. Model..
[5] Mahlet G Tadesse,et al. Utilization of metabolomics to identify serum biomarkers for hepatocellular carcinoma in patients with liver cirrhosis. , 2012, Analytica chimica acta.
[6] Matthias Müller-Hannemann,et al. In silico fragmentation for computer assisted identification of metabolite mass spectra , 2010, BMC Bioinformatics.
[7] F. Mattivi,et al. A rapid LC-MS/MS method for quantitative profiling of fatty acids, sterols, glycerolipids, glycerophospholipids and sphingolipids in grapes. , 2015, Talanta.
[8] Christophe Junot,et al. Annotation of the human adult urinary metabolome and metabolite identification using ultra high performance liquid chromatography coupled to a linear quadrupole ion trap-Orbitrap mass spectrometer. , 2012, Analytical chemistry.
[9] Nigel W. Hardy,et al. Proposed minimum reporting standards for chemical analysis , 2007, Metabolomics.
[10] Albert Koulman,et al. RAPID COMMUNICATIONS IN MASS SPECTROMETRY Rapid Commun. Mass Spectrom. 2009; 23: 1411–1418 , 2022 .
[11] Christoph Steinbeck,et al. MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data , 2012, Nucleic Acids Res..
[12] W. Ens,et al. Sequence-specific retention calculator. A family of peptide retention time prediction algorithms in reversed-phase HPLC: applicability to various chromatographic conditions and columns. , 2007, Analytical chemistry.
[13] R. Breitling,et al. Toward global metabolomics analysis with hydrophilic interaction liquid chromatography-mass spectrometry: improved metabolite identification by retention time prediction. , 2011, Analytical chemistry.
[14] Steven Lai,et al. MolFind: a software package enabling HPLC/MS-based identification of unknown chemical structures. , 2012, Analytical chemistry.
[15] John Chilton,et al. Using iRT, a normalized retention time for more targeted measurement of peptides , 2012, Proteomics.
[16] M. Yanagida,et al. Unexpected similarities between the Schizosaccharomyces and human blood metabolomes, and novel human metabolites. , 2014, Molecular bioSystems.
[17] Emma L. Schymanski,et al. Automatic recalibration and processing of tandem mass spectra using formula annotation. , 2013, Journal of mass spectrometry : JMS.
[18] David S. Wishart,et al. HMDB: a knowledgebase for the human metabolome , 2008, Nucleic Acids Res..
[19] M. Hirai,et al. MassBank: a public repository for sharing mass spectral data for life sciences. , 2010, Journal of mass spectrometry : JMS.
[20] Karl Fraser,et al. Predicting retention time in hydrophilic interaction liquid chromatography mass spectrometry and its use for peak annotation in metabolomics , 2014, Metabolomics.
[21] P. Haddad,et al. Methodology for porting retention prediction data from old to new columns and from conventional-scale to miniaturised ion chromatography systems. , 2011, Journal of chromatography. A.
[22] R. Salek,et al. Metabolic differences in ripening of Solanum lycopersicum ‘Ailsa Craig’ and three monogenic mutants , 2014, Scientific Data.
[23] L. Farina,et al. The plasticity of the grapevine berry transcriptome , 2013, Genome Biology.
[24] S. Neumann,et al. Metabolite profiling and beyond: approaches for the rapid processing and annotation of human blood serum mass spectrometry data , 2013, Analytical and Bioanalytical Chemistry.
[25] Lubertus Bijlsma,et al. Critical evaluation of a simple retention time predictor based on LogKow as a complementary tool in the identification of emerging contaminants in water. , 2015, Talanta.
[26] P. Carrupt,et al. Retention time prediction for dereplication of natural products (CxHyOz) in LC-MS metabolite profiling. , 2014, Phytochemistry.
[27] Oliver Kohlbacher,et al. Retention Time Prediction Improves Identification in Nontargeted Lipidomics Approaches. , 2015, Analytical chemistry.
[28] A. A. D’Archivio,et al. Multiple-column RP-HPLC retention modelling based on solvatochromic or theoretical solute descriptors. , 2010, Journal of separation science.
[29] Leon P Barron,et al. Prediction of chromatographic retention time in high-resolution anti-doping screening data using artificial neural networks. , 2013, Analytical chemistry.
[30] Christophe Croux,et al. Robust Estimation of Mean and Dispersion Functions in Extended Generalized Additive Models , 2010, Biometrics.
[31] Ron Wehrens,et al. LC-MS based global metabolite profiling of grapes: solvent extraction protocol optimisation , 2011, Metabolomics.
[32] Mahlet G Tadesse,et al. LC-MS based serum metabolomics for identification of hepatocellular carcinoma biomarkers in Egyptian cohort. , 2012, Journal of proteome research.
[33] M. Hirai,et al. Widely Targeted Metabolomics Based on Large-Scale MS/MS Data for Elucidating Metabolite Accumulation Patterns in Plants , 2008, Plant & cell physiology.
[34] R. Beavis,et al. An Improved Model for Prediction of Retention Times of Tryptic Peptides in Ion Pair Reversed-phase HPLC , 2004, Molecular & Cellular Proteomics.
[35] Ludovic C. Gillet,et al. Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis* , 2012, Molecular & Cellular Proteomics.
[36] Adrian D Hegeman,et al. A study on retention "projection" as a supplementary means for compound identification by liquid chromatography-mass spectrometry capable of predicting retention with different gradients, flow rates, and instruments. , 2011, Journal of chromatography. A.
[37] Adrian D Hegeman,et al. Easy and accurate high-performance liquid chromatography retention prediction with different gradients, flow rates, and instruments by back-calculation of gradient and flow rate profiles. , 2011, Journal of chromatography. A.
[38] Christoph Steinbeck,et al. MassCascade: Visual Programming for LC-MS Data Processing in Metabolomics , 2014, Molecular informatics.
[39] A. A. D’Archivio,et al. Cross-column prediction of gas-chromatographic retention of polybrominated diphenyl ethers. , 2013, Journal of chromatography. A.
[40] Nadine Strehmel,et al. Profiling of secondary metabolites in root exudates of Arabidopsis thaliana. , 2014, Phytochemistry.
[41] Leon P Barron,et al. Artificial neural network modelling of pharmaceutical residue retention times in wastewater extracts using gradient liquid chromatography-high resolution mass spectrometry data. , 2015, Journal of chromatography. A.
[42] Emma L. Schymanski,et al. Strategies to characterize polar organic contamination in wastewater: exploring the capability of high resolution mass spectrometry. , 2014, Environmental science & technology.
[43] René P Schwarzenbach,et al. Identification of transformation products of organic contaminants in natural waters by computer-aided prediction and high-resolution mass spectrometry. , 2009, Environmental science & technology.
[44] L. Dragsted,et al. Metabolic fingerprinting of high-fat plasma samples processed by centrifugation- and filtration-based protein precipitation delineates significant differences in metabolite information coverage. , 2012, Analytica chimica acta.
[45] F. Mattivi,et al. The influence of storage on the “chemical age” of red wines , 2014, Metabolomics.
[46] Steffen Neumann,et al. MetFusion: integration of compound identification strategies. , 2013, Journal of mass spectrometry : JMS.
[47] Julio E. Peironcely,et al. Automated pipeline for de novo metabolite identification using mass-spectrometry-based metabolomics. , 2013, Analytical chemistry.