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1 Metabolomics a Promising ‘omics Science By Susan Simmons University of North Carolina Wilmington
1 Metabolomics a Promising ‘omics Science By Susan Simmons University of North Carolina Wilmington
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CHARACTERIZATION OF RESVERATROL BINDING SITES IN ATP SYNTHASE THROUGH MOLECULAR ANALYSIS OF CANDIDATE SUBUNITS Lauren Ivey Laura McCoy
CHARACTERIZATION OF RESVERATROL BINDING SITES IN ATP SYNTHASE THROUGH MOLECULAR ANALYSIS OF CANDIDATE SUBUNITS Lauren Ivey Laura McCoy
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Introduction to Proteomics. First issue of Proteomics- Jan. 1, 2001
Introduction to Proteomics. First issue of Proteomics- Jan. 1, 2001
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Pathways & Molecules M.A. Ott (CMBI). Contents Pathways and Molecules M.A. Ott Enzymes and Metabolites Metabolic Pathways: Cholesterol Biosynthesis Metabolic
Pathways & Molecules M.A. Ott (CMBI). Contents Pathways and Molecules M.A. Ott Enzymes and Metabolites Metabolic Pathways: Cholesterol Biosynthesis Metabolic
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“Creating the right chemistry” in Pathways Master Seminar Fall 2006 M.A. Ott (CMBI)
“Creating the right chemistry” in Pathways Master Seminar Fall 2006 M.A. Ott (CMBI)
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Gene Set Analysis 09/24/07. From individual gene to gene sets Finding a list of differentially expressed genes is only the starting point. Suppose we
Gene Set Analysis 09/24/07. From individual gene to gene sets Finding a list of differentially expressed genes is only the starting point. Suppose we
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AMATH 382: Computational Modeling of Cellular Systems Dynamic modelling of biochemical, genetic, and neural networks Introductory Lecture, Jan. 6, 2014
AMATH 382: Computational Modeling of Cellular Systems Dynamic modelling of biochemical, genetic, and neural networks Introductory Lecture, Jan. 6, 2014
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CZ5225 Methods in Computational Biology Lecture 9: Biological pathways and pathway simulation Prof. Chen Yu Zong Tel: 6874-6877 Email: csccyz@nus.edu.sg
CZ5225 Methods in Computational Biology Lecture 9: Biological pathways and pathway simulation Prof. Chen Yu Zong Tel: 6874-6877 Email: [email protected]
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AMATH 882: Mathematical Cell Biology Dynamic modelling of biochemical, genetic, and neural networks Introductory Lecture, Jan. 7, 2013
AMATH 882: Mathematical Cell Biology Dynamic modelling of biochemical, genetic, and neural networks Introductory Lecture, Jan. 7, 2013
219 views
Group Contribution
Group Contribution
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AMATH 882: Mathematical Cell Biology
AMATH 882: Mathematical Cell Biology
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Towards the virtual organism PART I: Databases and tools for biochemical pathways PART II: Relating expression data and pathways PART III: Guided Tour:
Towards the virtual organism PART I: Databases and tools for biochemical pathways PART II: Relating expression data and pathways PART III: Guided Tour:
217 views