Buch, Englisch, Band 1107, 333 Seiten, Previously published in hardcover, Format (B × H): 178 mm x 254 mm, Gewicht: 655 g
Reihe: Methods in Molecular Biology
Buch, Englisch, Band 1107, 333 Seiten, Previously published in hardcover, Format (B × H): 178 mm x 254 mm, Gewicht: 655 g
Reihe: Methods in Molecular Biology
ISBN: 978-1-4939-6264-8
Verlag: Humana Press
In miRNomics: MicroRNA Biology and Computational Analysis, expert researchers in the field present an overview of the current state of the art and aim to put the respective areas of research into a larger perspective. These include methods and techniques ranging from miRNA biogenesis, their biological function, computational analyses to their medical implications and applications. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, miRNomics: MicroRNA Biology and Computational Analysis seeks to aid scientists in the further study into miRNA research and statistics.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Humangenetik
- Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Naturwissenschaften Biowissenschaften Biowissenschaften DNA und Transgene Organismen
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
Weitere Infos & Material
Introduction to MicroRNAs in Biological Systems.- The Role of MicroRNA's in Biological Processes.- The Role of MicroRNAs in Human Diseases.- Introduction to Bioinformatics.- MicroRNA and Non-Coding RNA Related Date Sources.- High Throughput Approaches for MicroRNA Expression Analysis.- Introduction to Machine Learning.- Introduction to Statistical Methods for MicroRNA Analysis.- Computational Bioinformatics Methods for MicroRNA Gene Prediction.- Machine Learning Methods for MicroRNA Gene Prediction.- Functional, Structural, and Sequence Studies of MicroRNA.- Computational Methods for MicroRNA Target Prediction.- MicroRNA Target and Gene Validation in Viruses and Bacteria.- Gene Reporter Assay to Validate MicroRNA Targets in Drosophila S2 Cells.- Computational Prediction of MicroRNA Function and Activity.- Analysis of MicroRNA Expression using Machine Learning.- MicroRNA Expression Landscapes in Stem Cells, Tissues, and Cancer.- Master Regulators of Post-Transcriptional Gene Expression are Subject to Regulation.- Use of MicroRNAs in Personalized Medicine.
