Dissecting Regulatory Interactions of RNA and Protein
Combining Computation and High-throughput Experiments in Systems Biology
Seiten
2016
|
1. Softcover reprint of the original 1st ed. 2014
Springer International Publishing (Verlag)
978-3-319-36117-8 (ISBN)
Springer International Publishing (Verlag)
978-3-319-36117-8 (ISBN)
The work described in this book is an excellent example of interdisciplinary research in systems biology. It shows how concepts and approaches from the field of physics can be efficiently used to answer biological questions and reports on a novel methodology involving creative computer-based analyses of high-throughput biological data. Many of the findings described in the book, which are the result of collaborations between the author (a theoretical scientist) and experimental biologists and between different laboratories, have been published in high-quality peer-reviewed journals such as Molecular Cell and Nature. However, while those publications address different aspects of post-transcriptional gene regulation, this book provides readers with a complete, coherent and logical view of the research project as a whole. The introduction presents post-transcriptional gene regulation from a distinct angle, highlighting aspects of information theory and evolution and laying the groundwork for the questions addressed in the subsequent chapters, which concern the regulation of the transcriptome as the primary functional carrier of active genetic information.
Introduction.- Computational analysis of PAR-CLIP data.- Transcriptome-wide analysis of regulatory interactions of the RNA-binding protein HuR.- Binding site occupancy with competition interactions in equilibrium.- Circular RNAs are a large class of animal RNAs with regulatory potency.- Discussion.- Methods.
Erscheinungsdatum | 16.09.2016 |
---|---|
Reihe/Serie | Springer Theses |
Zusatzinfo | XVIII, 99 p. 38 illus., 19 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik | |
Schlagworte | Artificial Intelligence • Binding site occupancy • biochemistry • Biochemistry, general • CDR1as • circRNA detection from sequencing data • Competing RNA • Computational Intelligence • ELAVL1 HuR • Engineering • Engineering: general • gene expression • Life sciences: general issues • medical genetics • miR-7 sponge • Model of ELAVL1 binding • PAR-CLIP clusters and filtering • PAR-CLIP computational pipeline • Post-transcriptional regulation • RNA-binding proteins • RNA competition theory • Sponge RNA • systems biology |
ISBN-10 | 3-319-36117-1 / 3319361171 |
ISBN-13 | 978-3-319-36117-8 / 9783319361178 |
Zustand | Neuware |
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