Gene Expression Analysis


Book Description

This volume provides experimental and bioinformatics approaches related to different aspects of gene expression analysis. Divided in three sections chapters detail wet-lab protocols, bioinformatics approaches, single-cell gene expression, highly multiplexed amplicon sequencing, multi-omics techniques, and targeted sequencing. 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, Gene Expression Analysis: Methods and Protocols aims provide useful information to researchers worldwide.




RNA Abundance Analysis


Book Description

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.




RNA


Book Description

Recent insight into the transcripts generated from the mammalian genome (i.e. the transcriptome) has revealed that transcription is a far more complex phenomenon than previously thought. In RNA: Methods and Protocols, expert researchers provide the procedures and methods used to describe the structure of messenger RNAs and non-coding RNAs that are transcribed by RNA polymerase II as the immediate gene products in mammalian cells. Focused on the structure of the RNA products of “gene X” and the mapping of proteins associated with these RNAs, the volume presents appropriate information for non-specialists in RNA biology. Written in the highly successful Methods in Molecular BiologyTM series format, many chapters contain 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. Comprehensive and practical, RNA: Methods and Protocols views the transcriptional landscape with an appreciation for the role that proteins play in the processing and interpretation of genetic information in an attempt to further our crucial knowledge of the many products and sophisticated regulatory networks that result from it.




Epistasis


Book Description




Protocols used in Molecular Biology


Book Description

Protocols used in Molecular Biology is a compilation of several examples of molecular biology protocols. Each example is presented with a concise introduction, materials and chemicals required, a step-by-step procedure and troubleshooting tips. Information about the application of the protocol is also provided. The techniques included in this book are essential to research in the fields of proteomics, genomics, cell culture, epigenetic modification and structural biology. The protocols can also be used by clinical researchers (neuroscientists and oncologists, for example) for medical applications (diagnostics, therapeutics and multidisciplinary projects).




Transcriptome Data Analysis


Book Description

This detailed volume provides comprehensive practical guidance on transcriptome data analysis for a variety of scientific purposes. Beginning with general protocols, the collection moves on to explore protocols for gene characterization analysis with RNA-seq data as well as protocols on several new applications of transcriptome studies. Written for the highly successful Methods in Molecular Biology series, 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 useful, Transcriptome Data Analysis: Methods and Protocols serves as an ideal guide to the expanding purposes of this field of study.




Statistical Genomics


Book Description

This volume expands on statistical analysis of genomic data by discussing cross-cutting groundwork material, public data repositories, common applications, and representative tools for operating on genomic data. Statistical Genomics: Methods and Protocols is divided into four sections. The first section discusses overview material and resources that can be applied across topics mentioned throughout the book. The second section covers prominent public repositories for genomic data. The third section presents several different biological applications of statistical genomics, and the fourth section highlights software tools that can be used to facilitate ad-hoc analysis and data integration. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible analysis protocols, and tips on troubleshooting and avoiding known pitfalls. Through and practical, Statistical Genomics: Methods and Protocols, explores a range of both applications and tools and is ideal for anyone interested in the statistical analysis of genomic data.




Yeast Protocols


Book Description

Yeast Protocols contains many key techniques for studying the biology of yeasts at both the cellular and molecular levels. Working primarily from Saccharomyces cerevisiae, the expert contributors explain step-by-step how to successfully isolate, identify, and culture yeasts; the secrets of meiotic mapping; how to use PFGE in karyotyping and gene localization; the methods for purification and analysis of various cell components; and the construction and exploitation of genomic DNA clone banks. They also cover the latest methods for chromosome engineering, insertional mutagenesis by Ty elements, mRNA abundance and half-life measurements, the use of reporter gene systems, genotoxicity testing, and more. Yeast Protocols follows the widely applauded Humana Methods in Molecular Biology style: brief introductions putting the particular method in context, comprehensive lists of materials, cookbook style instructions, and troubleshooting notes to avoid common pitfalls and solve problems. The techniques can be used with confidence and success by both inexperienced newcomers and established researchers.




Genetic Epidemiology


Book Description

This volume details fast-moving research while providing in-depth descriptions of methods and analytical approaches that are helping to understand the genome and how it is related to complex diseases. Chapters guide the reader through common and rare variation, gene-gene and gene-environment interactions and state-of-the-art approaches for the synthesis of genome-wide and gene expression data. Novel approaches for associations in the HLA region, family-based designs, Mendelian Randomization and Copy Number Variation are also presented. The volume concludes with the challenges researchers face while moving from identifying variants to their functional role and potential drug targets. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, a thorough presentation of methods and approaches and tips on troubleshooting and avoiding known pitfalls.