Computational Non Coding Rna Biology

Computational Non-coding RNA Biology is a resource for the computation of non-coding RNAs. The book covers computational methods for the identification and quantification of non-coding RNAs, including miRNAs, tasiRNAs, phasiRNAs, lariat originated circRNAs and back-spliced circRNAs, the identification of miRNA/siRNA targets, and the identification of mutations and editing sites in miRNAs. The book introduces basic ideas of computational methods, along with their detailed computational steps, a critical component in the development of high throughput sequencing technologies for identifying different classes of non-coding RNAs and predicting the possible functions of these molecules. Finding, quantifying, and visualizing non-coding RNAs from high throughput sequencing datasets at high volume is complex. Therefore, it is usually possible for biologists to complete all of the necessary steps for analysis. Presents a comprehensive resource of computational methods for the identification and quantification of non-coding RNAs Introduces 23 practical computational pipelines for various topics of non-coding RNAs Provides a guide to assist biologists and other researchers dealing with complex datasets Introduces basic computational methods and provides guidelines for their replication by researchers Offers a solution to researchers approaching large and complex sequencing datasets

This volume 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 aims to provide a state-of-the-art collection of computational methods and approaches that will be of value to researchers interested in ncRNA field.

This volume assembles a broad spectrum of methods used in long non-coding RNAs (lncRNA) research, ranging from computational annotation of lncRNA genes to molecular and cellular analyses of the function of individual lncRNA. Long Non-Coding RNAs: Methods and Protocols also discusses methods used to study circular RNAs and RNA splicing, as well as influential findings on lncRNA in human diseases. 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. Thorough and cutting-edge, Long Non-Coding RNAs: Methods and Protocols is a must-have for molecular biologists, cell and developmental biologists, specialists who conduct disease-oriented research, and bioinformatics experts who seek a better understanding on lncRNA expression and function by computational analysis of the massive sequencing data that are rapidly accumulating in recent years.

This book offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from a view of bioinformatics. It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseases. Computational methods used to investigate uncharacterised ncRNAs in diseases are mainly summarized in seven aspects: DNA variation of ncRNAs in diseases, prioritization of disease-related ncRNAs, dysregulation epigenetic factors that regulate ncRNA misexpression (DNA methylation and histone-modification), complex crosstalk across ncRNAs, ncRNAs acted as competing regulators to mediate the expression of protein-coding genes, non-coding RNAs mediated risk pathways,and their contributions to drug target predictions. The generally used data resources of ncRNAs are also listed in the end. This book provides important information on the current progress in the fast-moving fields of bioinformatics for regulatory ncRNAs. It provides a timely and useful reference for computational biologists, specifically with RNA interests, and other related areas. Prof. Xia Li is a Professor and the Dean of College of Bioinformatics Science and Technology, Harbin Medical University, China. Dr. Yun Xiao, Dr. Juan Xu, Dr. Shangwei Ning and Dr. Yunpeng Zhang are from College of Bioinformatics Science and Technology, Harbin Medical University, China.

Recent progress in high-throughput technologies and genome wide transcriptome studies have lead to a significant scientific milestone of discovering non-coding RNAs (ncRNAs) which spans through a major portion of the genome. These RNAs most often act as riboregulators, and actively participate in the regulation of important cellular functions at the transcriptional and/or post-transcriptional levels rather than simply being an intermediated messenger between DNA and proteins. As the appreciation for the importance of ncRNAs continues to emerge, it is also increasingly clear that these play critical roles in gene regulatory processes during development and differentiation. Further, regulatory RNAs are useful biomarkers for diagnosis of diseases. Hence these RNA regulators are essential to the development of therapeutics. This book on “Regulatory RNAs” offers a comprehensive view on our current understanding of these regulatory RNAs viz. siRNA, miRNA, piRNA, snoRNA, long non-coding RNA, small RNA etc. It addresses both the biogenesis and mechanism of action of regulatory RNAs with a primary focus on their annotation, experimental methodologies (microarray, next-gen sequencing etc.) for their discovery, computational tools for their prediction, and above all, applications of these revolutionary regulatory molecules in understanding biological systems and diseases, including therapeutics. This comprehensive volume is intended for readers with research or teaching interests in ncRNA biology and will provide a major information resource on current research in the fast-moving fields of RNA and gene expression regulation. Cutting-edge and concise, “Regulatory RNAs: Basics, Methods and Applications” promises to support vital research in the field of regulatory RNAs, ever-continuing to grow rapidly and gain increasing importance in basic and translational biology.

Navigating Non-coding RNA: From Biogenesis to Therapeutic Application provides a concise overview of the field of non-coding RNA (ncRNA). Chapters cover the history of discoveries that have occurred in the area of ncRNA, specific types of ncRNA, housekeeping ncRNAs such as ribosomal RNA, transfer RNA, small nuclear RNA and telomerase RNA, regulatory ncRNAs such as microRNA, small interfering RNA, long non-coding RNA and Y RNA. Biogenesis, structure, function, and regulation of each of these are also explored in addition to traditional and cutting-edge methods for the identification, functional characterization and structural characterization of ncRNA. The book also focuses on the different types of epitranscriptomic modifications and their involvement in regulating ncRNA structure, stability and intermolecular interactions in addition to the role of ncRNAs in a range of diseases and potential therapeutic applications. Covers a wide range of non-coding RNAs, including ribosomal RNA, transfer RNA, telomerase RNA, microRNA, small interfering RNA and circular RNA Features both traditional and novel methodologies for investigating ncRNA, from microarray and conventional chemical probing to CAGE-seq and computational methods Includes chapters on ncRNAs in a range of diseases, including cancers, neurological disorders, cardiovascular conditions and infectious illnesses Discusses novel therapeutic strategies for targeting ncRNAs, including CRISP/Ca9 applications and RNAi-based strategies Explores the molecular mechanisms and intermolecular interactions of ncRNA

This book offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from a view of bioinformatics. It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseases. Computational methods used to investigate uncharacterised ncRNAs in diseases are mainly summarized in seven aspects: DNA variation of ncRNAs in diseases, prioritization of disease-related ncRNAs, dysregulation epigenetic factors that regulate ncRNA misexpression (DNA methylation and histone-modification), complex crosstalk across ncRNAs, ncRNAs acted as competing regulators to mediate the expression of protein-coding genes, non-coding RNAs mediated risk pathways,and their contributions to drug target predictions. The generally used data resources of ncRNAs are also listed in the end. This book provides important information on the current progress in the fast-moving fields of bioinformatics for regulatory ncRNAs. It provides a timely and useful reference for computational biologists, specifically with RNA interests, and other related areas.Prof. Xia Li is a Professor and the Dean of College of Bioinformatics Science and Technology, Harbin Medical University, China. Dr. Yun Xiao, Dr. Juan Xu, Dr. Shangwei Ning and Dr. Yunpeng Zhang are from College of Bioinformatics Science and Technology, Harbin Medical University, China.

This second edition shows how long non-coding RNAs (lnc)RNAs have emerged as a new paradigm in epigenetic regulation of the genome. Thousands of lncRNAs have been identified and observed in a wide range of organisms. Unlike mRNA, lncRNA have no protein-coding capacity. So, while their function is not entirely clear, they may serve as key organizers of protein complexes that allow for higher order regulatory events. Advances in the field also include better characterization of human long non-coding RNAs, novel insights into their roles in human development and disease, their diverse mechanisms of action and novel technologies to study them.