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Field Guides & Natural History  Organismal to Molecular Biology  Biochemistry & Molecular Biology

S.A.G.E: Current Technologies and Applications

Field / Identification Guide
Edited By: S Ming Wang
350 pages, Illus, 56 figs, 28 tabs
S.A.G.E: Current Technologies and Applications
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  • S.A.G.E: Current Technologies and Applications ISBN: 9781904933076 Hardback Dec 2005 Usually dispatched within 6 days
    £52.50
    #152127
Selected version: £52.50
About this book Contents Customer reviews Related titles

About this book

Reviews every aspect of SAGE technology (Serial Analysis of Gene Expression), including the evaluation of SAGE, the improvement and further development of SAGE methodology, the statistical analysis and mathematical modelling of SAGE data, and the practical application of SAGE in eukaryotic organisms, stem cell research and brain cells analysis.

Contents

1. Evaluation of SAGE Tags for Transcriptome Study. 2. CAGE: A Novel Approach for Rapid Gene Discovery and Gene Network Identification. 3. SuperSAGE: A Potent Transcriptome Tool for Eukaryotic Organisms. 4. An Improved Protocol for SAGE Tag-to-gene Allocation. 5. Using HPLC to Purify Ditags for SAGE Library Construction. 6. Web Tools for Statistical Analysis of SAGE Data. 7. Convert MPSS Orphan Tags into 3' ESTs. 8. Mathematical Analysis and Modeling of SAGE Transcriptome. 9. Statistical Analysis of SAGE Data. 10. Studies of Plant Gene Expression Using SAGE. 11. SAGE Analysis of Embryonic Stem Cells. 12. Determining Transcriptome Differences Between Brain Territories. 13. Identifying Selection Signatures in Mammalian Genes Through the Analysis of Patterns of Gene Expression. 14. SAGE Identifies Transcripts Involved in Enhanced Performance of Endurance Athlete's Muscle. 15. Using SAGE to Analyze Signaling and Development in Drosophila. 16. Use of SAGE Technology to Reveal Changes in Gene Expression in Arabidopsis Undergoing Cold Stress. 17. SAGE Analysis of Age- and Sex-Associated Changes in Cardiac Gene Expression. 18. Reverse Transcriptome: Identification of Novel Transcripts Through Novel SAGE Tags.

Customer Reviews

Field / Identification Guide
Edited By: S Ming Wang
350 pages, Illus, 56 figs, 28 tabs
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