Transcriptomics and Gene Regulation

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Wu, Jiaqian (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: Translational Bioinformatics, 9
• Θέματα: Life sciences.; Gene expression.; Neurosciences.; Bioinformatics.; Life Sciences.; Gene Expression.

 This volume focuses on modern computational and statistical tools for translational gene expression and regulation research to improve prognosis, diagnostics, prediction of severity, and therapies for human diseases. It introduces some of state of the art technologies as well as computational and statistical tools for translational bioinformatics in the areas of gene transcription and regulation, including the tools for next generation sequencing analyses, alternative spicing, the modeling of signaling pathways, network analyses in predicting disease genes, as well as protein and gene expression data integration in complex human diseases etc. The book is particularly useful for researchers and students in the field of molecular biology, clinical biology and bioinformatics, as well as physicians etc. Dr. Jiaqian Wu is assistant professor in the Vivian L. Smith Department of Neurosurgery and Center for Stem Cell and Regenerative Medicine, University of Texas Health Science Centre, Houston, TX, USA. 

 The Analyses of Global Gene Expression and Transcription Factor Regulation -- Global Approaches to Alternative Splicing and its Regulation - Recent Advances and Open Questions -- Long Non-coding RNAs: Critical Regulators for Cell Lineage Commitment in the Central Nervous System -- Gene expression models of signaling pathways -- From Gene Expression to Disease Phenotypes: Network-Based Approaches to Study Complex Human Diseases -- Introduction to Isoform Sequencing using Pacific Biosciences Technology (Iso-Seq) -- Systematic and Integrative Analysis of Gene Expression to Identify Feature Genes Underlying Human Diseases.