Computational Biology of Non-Coding RNA
Springer-Verlag New York Inc.
978-1-0716-4289-4 (ISBN)
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Authoritative and cutting-edge, Computational Biology of Non-Coding RNA: Methods and Protocols, Second Edition aims to ensure successful results in the further study of this vital field.
Overview of the different classes of small RNAs during B cell development.- A Current Perspective of Medical Informatics Developments for a Clinical Translation of (non-coding)RNAs and Single-Cell Technologies.- Non-coding RNA networks in infection.- The role of non-coding RNAs in tumorigenesis, diagnosis/prognosis, and therapeutic strategies for cutaneous melanoma.- A review on circular RNA translation and its implications in disease.- Modeling ncRNA-Mediated Circuits in Cell Fate Decision: From Systems Biology to Synthetic Biology.- Mathematical modeling for oscillations driven by noncoding RNAs.- Out-of-equilibrium ceRNA crosstalk.- Mechanistic Modelling the Role of MicroRNAs and Transcription Factors in Disease Progression.- Architects and Partners: The Dual Roles of Non-Coding RNAs in Gene Fusion Events.- Unveiling Long Non-Coding RNA Networks from Single-Cell Omics Data through Artificial Intelligence.- LncRNA recognition associated CpG island detection and methylation analysis.- Computational resources for lncRNA functions and targetome.- Temporal expression analysis to unravel gene regulatory dynamics by microRNAs.- Computational prediction of gene regulation by lncRNAs.- Structure-based prediction of lncRNA-protein interactions by deep learning.- Modelling ncRNA Synergistic Regulation in Cancer.- A Practical Guideline for MicroRNA Sequencing Data Analysis in Chronic Lymphocytic Leukemia.- A Network Biology-Guided Investigation of the Long Non-Coding RNAs’ role in Glaucoma.- ncRNA editing: Functional Characterization and Computational Resources.
Erscheint lt. Verlag | 23.2.2025 |
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Reihe/Serie | Methods in Molecular Biology |
Zusatzinfo | 89 Illustrations, color; 6 Illustrations, black and white; CDXLV, 445 p. 98 illus., 96 illus. in color. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie |
Schlagworte | Computational Biology • epigenetics • gene regulation • hybrid deep learning • RNA Sequencing |
ISBN-10 | 1-0716-4289-8 / 1071642898 |
ISBN-13 | 978-1-0716-4289-4 / 9781071642894 |
Zustand | Neuware |
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