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Rovshan G Sadygov

Showing results (1-10 of 63) with videos related to

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Journal of Proteome Research|March 4, 2021
Using Heavy Mass Isotopomers for Protein Turnover in Heavy Water Metabolic LabelingRovshan G Sadygov
International Journal of Proteomics|July 31, 2012
High mass accuracy phosphopeptide identification using tandem mass spectraRovshan G Sadygov
Analytical Chemistry|October 21, 2020
Partial Isotope Profiles Are Sufficient for Protein Turnover Analysis Using Closed-Form Equations of Mass Isotopomer DynamicsRovshan G Sadygov
Journal of the American Society for Mass Spectrometry|August 5, 2015
Using SEQUEST with theoretically complete sequence databasesRovshan G Sadygov
Electrophoresis|June 11, 2014
Use of singular value decomposition analysis to differentiate phosphorylated precursors in strong cation exchange fractionsRovshan G Sadygov
International Journal of Molecular Sciences|October 27, 2020
High-Resolution Mass Spectrometry for In Vivo Proteome Dynamics using Heavy Water Metabolic LabelingRovshan G Sadygov
Briefings in Bioinformatics|January 21, 2022
Protein turnover models for LC-MS data of heavy water metabolic labelingRovshan G Sadygov
Journal of Proteome Research|December 6, 2017
Poisson Model To Generate Isotope Distribution for BiomoleculesRovshan G Sadygov
Bioinformatics (Oxford, England)|October 17, 2020
A novel estimator of the interaction matrix in Graphical Gaussian Model of omics data using the entropy of non-equilibrium systemsAhmad Borzou, Rovshan G Sadygov
Plos One|July 19, 2017
Predicting the protein half-life in tissue from its cellular propertiesMahbubur Rahman, Rovshan G Sadygov
Pageof 7

Showing results (1-10 of 63) with videos related to

Sort By:
Pageof 7
Journal of Proteome Research|March 4, 2021
Using Heavy Mass Isotopomers for Protein Turnover in Heavy Water Metabolic LabelingRovshan G Sadygov
International Journal of Proteomics|July 31, 2012
High mass accuracy phosphopeptide identification using tandem mass spectraRovshan G Sadygov
Analytical Chemistry|October 21, 2020
Partial Isotope Profiles Are Sufficient for Protein Turnover Analysis Using Closed-Form Equations of Mass Isotopomer DynamicsRovshan G Sadygov
Journal of the American Society for Mass Spectrometry|August 5, 2015
Using SEQUEST with theoretically complete sequence databasesRovshan G Sadygov
Electrophoresis|June 11, 2014
Use of singular value decomposition analysis to differentiate phosphorylated precursors in strong cation exchange fractionsRovshan G Sadygov
International Journal of Molecular Sciences|October 27, 2020
High-Resolution Mass Spectrometry for In Vivo Proteome Dynamics using Heavy Water Metabolic LabelingRovshan G Sadygov
Briefings in Bioinformatics|January 21, 2022
Protein turnover models for LC-MS data of heavy water metabolic labelingRovshan G Sadygov
Journal of Proteome Research|December 6, 2017
Poisson Model To Generate Isotope Distribution for BiomoleculesRovshan G Sadygov
Bioinformatics (Oxford, England)|October 17, 2020
A novel estimator of the interaction matrix in Graphical Gaussian Model of omics data using the entropy of non-equilibrium systemsAhmad Borzou, Rovshan G Sadygov
Plos One|July 19, 2017
Predicting the protein half-life in tissue from its cellular propertiesMahbubur Rahman, Rovshan G Sadygov
Pageof 7