In RNA Mapping- Methods and Protocols expert researchers in the field detail many of the methods which are now commonly used to study RNA. These include protocols for the consequence of the emerging interest in the characterization of cellular RNAs urged by their potential use as diagnostic biomarkers or therapeutic targets. In particular, the biological relevance of microRNAs in human physiology and disease development is highlighted in the 16 chapters focused on methods for their physical and functional mapping. 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, RNA Mapping- Methods and Protocols provides instruction and inspiration for scientists who are facing the challenges of the discovery and/or functional characterization of RNA molecules for a wide variety of applications ranging from novel biomedical diagnostics to therapeutics and biomaterials.

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.

This book examines a wide range of techniques on RNA extraction, detection, quantification, visualization, and genome-wide profiling, from conventional methods to state-of-the-art high throughput approaches.

Route Maps in Gene Technology is an exciting new introductory textbook for first-year undergraduates in molecular biology and molecular genetics. The subject is broken down into 140 to 150 key concepts or topics, each of which is dealt with in one doublepaged spread. These range from basic introductory principles to applied topics at the cutting edge of research. A control strip along the top of the page shows the student which pages need to have been read beforehand and which topics may be followed afterward. In addition, at the front of the book are a selection of 'routes,' which the student or teacher may choose in order to study a particular topic. Because courses have become more 'modular' and many students arrive at college with little or no biology background, this approach enables teachers and students to structure a course of study to best suit their disparate exposure to biology. An exciting new concept in textbook design, allowing unparalleled flexibility on the part of the student and the teacher Covers the full range of modern molecular biology, from basic principles to the latest applications Attractive, clear and simple presentation with copious two-colour illustrations

The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript le

This book focuses on the current status of our understanding of RNA, a key biological molecule. The various RNAs covered are messenger RNA, ribosomal RNA, transfer RNA, noncoding RNAs, modified nucleosides, and RNA enzymes. The different chapters detail methods to investigate RNA structure and function, the chemistry of modified RNAs, and the latest advances in our understanding of the vast array of biological processes in which RNA is involved. RNA, in one form or another, touches almost everything in a cell. RNA has both structural and catalytic properties. RNA fulfills a broad range of functions. These molecules are no longer seen as passive elements transferring the genetic information from DNA into proteins but regulate the activity of genes during development, cellular differentiation, and changing environments. RNAs are involved in various aspects of cell physiology and disease development. Discoveries of RNA with unexpected diverse functions in healthy and diseased cells, such as the role of RNA as both the source and countermeasure to cancer or severe viral infection, stimulate new trends, passion, and solutions for molecular medicine. In this book, fundamental questions about the biochemical and genetic importance of RNA, how mRNAs are generated and used to produce proteins, how noncoding and catalytic RNAs mediate key cellular processes, how to determine RNA structure and how to apply RNA in treatment of diseases. This book is an essential resource for researches in academia and industry contributing to the development of new RNA therapeutics. The book is geared toward scientists from the graduate level on up and particularly appeals to active investigators in RNA biology, molecular biology, and biochemistry.