Computational Biology of Non-Coding RNA

This second edition details a collection of state-of-art methods including identification of novel ncRNAs and their targets, functional annotation and disease association in different biological contexts. Chapters guide readers through an overview of disease-specific ncRNAs, computational methods and workflows for ncRNA discovery, annotation based on high-throughput sequencing data, bioinformatics tools and databases for ncRNA analyses, network-based methods, and kinetic modelling of ncRNA-mediated gene regulation. 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 tips on troubleshooting and avoiding known pitfalls.

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.