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OverviewIn the post-genomic era SAGE (Serial Analysis of Gene Expression) is one of the most powerful tools available for global expression profiling at the mRNA level (transcriptome analysis). SAGE is also a valuable tool for gene discovery and gene network identification. Written by recognized experts in the field, this timely and authoritative volume reviews every aspect of SAGE technology including the evaluation of SAGE, the improvement and further development of SAGE methodology, the statistical analysis and mathematical modeling of SAGE data, and the practical application of SAGE in eukaryotic organisms, stem cell research, brain cells analysis, and much more. This comprehensive book is the definitive reference volume and an essential reference for all researchers interested in or working with SAGE technology. Full Product DetailsAuthor: San Ming WangPublisher: Taylor & Francis Ltd Imprint: Bios Scientific Publishers Ltd Dimensions: Width: 15.60cm , Height: 2.40cm , Length: 23.40cm Weight: 0.390kg ISBN: 9781904933076ISBN 10: 1904933076 Pages: 386 Publication Date: 27 January 2005 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. 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.ReviewsThis book is a thorough treatment of SAGE (Serial Analysis of Gene Expression) - Society for General Microbiology The first chapter appropriately starts with an excellent introduction and expounds one of the two important principles stated above: indetifying the SAGE tag gene of origin - Expert Review of Molecular Diagnostics, March 2006 This book is a thorough treatment of SAGE (Serial Analysis of Gene Expression) - Society for General Microbiology The first chapter appropriately starts with an excellent introduction and expounds one of the two important principles stated above: indetifying the SAGE tag gene of origin - Expert Review of Molecular Diagnostics, March 2006 Author InformationSan Ming Wang Tab Content 6Author Website:Countries AvailableAll regions |