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Author: Hailing Jin
Publisher: Humana Press
ISBN: 9781617798405
Category : Medical
Languages : en
Pages : 231
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Book Description
RNA abundance analysis is one of the most important approaches for gene expression studies in the field of molecular biology. In RNA Abundance Analysis: Methods and Protocols, expert researchers cover 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. This volume includes detailed techniques to examine mRNAs, small non-coding RNAs, protein-associated small RNAs, sulfur-containing RNAs, viral and satellite RNAs, RNA isoforms, and alternatively spliced RNA variants from various organisms, as well as key discussions of computational data processing for genome-wide datasets. Written for the highly successful Methods in Molecular BiologyTM 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. Essential and easy to use, RNA Abundance Analysis: Methods and Protocols provides a comprehensive set of techniques and methods on isolating and analyzing mRNAs, small RNAs, and modified RNAs, which can assist you in your gene expression studies.
Author: Hailing Jin
Publisher: Humana Press
ISBN: 9781617798405
Category : Medical
Languages : en
Pages : 231
Get Book
Book Description
RNA abundance analysis is one of the most important approaches for gene expression studies in the field of molecular biology. In RNA Abundance Analysis: Methods and Protocols, expert researchers cover 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. This volume includes detailed techniques to examine mRNAs, small non-coding RNAs, protein-associated small RNAs, sulfur-containing RNAs, viral and satellite RNAs, RNA isoforms, and alternatively spliced RNA variants from various organisms, as well as key discussions of computational data processing for genome-wide datasets. Written for the highly successful Methods in Molecular BiologyTM 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. Essential and easy to use, RNA Abundance Analysis: Methods and Protocols provides a comprehensive set of techniques and methods on isolating and analyzing mRNAs, small RNAs, and modified RNAs, which can assist you in your gene expression studies.
Author: Elijah Joshua
Publisher: Createspace Independent Publishing Platform
ISBN: 9781548213190
Category :
Languages : en
Pages : 234
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Book Description
RNA abundance analysis is one of the most important approaches for gene expression studies in the field of molecular biology. In RNA Abundance Analysis: Methods and Protocols, expert researchers cover 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. This volume includes detailed techniques to examine mRNAs, small non-coding RNAs, protein-associated small RNAs, sulfur-containing RNAs, viral and satellite RNAs, RNA isoforms, and alternatively spliced RNA variants from various organisms, as well as key discussions of computational data processing for genome-wide datasets.
Author: Hailing Jin
Publisher: Humana Press
ISBN: 9781493959167
Category : Medical
Languages : en
Pages : 248
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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.
Author: Vera Pawlowsky-Glahn
Publisher: John Wiley & Sons
ISBN: 0470711353
Category : Mathematics
Languages : en
Pages : 401
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Book Description
It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. The issue of ``spurious correlation'', as the situation was phrased by Karl Pearson back in 1897, affects all data that measures parts of some whole, such as percentages, proportions, ppm and ppb. Such measurements are present in all fields of science, ranging from geology, biology, environmental sciences, forensic sciences, medicine and hydrology. This book presents the history and development of compositional data analysis along with Aitchison's log-ratio approach. Compositional Data Analysis describes the state of the art both in theoretical fields as well as applications in the different fields of science. Key Features: Reflects the state-of-the-art in compositional data analysis. Gives an overview of the historical development of compositional data analysis, as well as basic concepts and procedures. Looks at advances in algebra and calculus on the simplex. Presents applications in different fields of science, including, genomics, ecology, biology, geochemistry, planetology, chemistry and economics. Explores connections to correspondence analysis and the Dirichlet distribution. Presents a summary of three available software packages for compositional data analysis. Supported by an accompanying website featuring R code. Applied scientists working on compositional data analysis in any field of science, both in academia and professionals will benefit from this book, along with graduate students in any field of science working with compositional data.
Author: Alessandro Cellerino
Publisher: Springer
ISBN: 8876426426
Category : Mathematics
Languages : en
Pages : 188
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Book Description
The goal of this book is to be an accessible guide for undergraduate and graduate students to the new field of data-driven biology. Next-generation sequencing technologies have put genome-scale analysis of gene expression into the standard toolbox of experimental biologists. Yet, biological interpretation of high-dimensional data is made difficult by the lack of a common language between experimental and data scientists. By combining theory with practical examples of how specific tools were used to obtain novel insights in biology, particularly in the neurosciences, the book intends to teach students how to design, analyse, and extract biological knowledge from transcriptome sequencing experiments. Undergraduate and graduate students in biomedical and quantitative sciences will benefit from this text as well as academics untrained in the subject.
Author: Filippo Geraci
Publisher: Frontiers Media SA
ISBN: 2889637050
Category :
Languages : en
Pages : 169
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Book Description
Author: Eija Korpelainen
Publisher: CRC Press
ISBN: 1466595019
Category : Mathematics
Languages : en
Pages : 322
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Book Description
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
Author: Fabio Marchi
Publisher: BoD – Books on Demand
ISBN: 9535135031
Category : Medical
Languages : en
Pages : 330
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Book Description
The large potential of RNA sequencing and other "omics" techniques has contributed to the production of a huge amount of data pursuing to answer many different questions that surround the science's great unknowns. This book presents an overview about powerful and cost-efficient methods for a comprehensive analysis of RNA-Seq data, introducing and revising advanced concepts in data analysis using the most current algorithms. A holistic view about the entire context where transcriptome is inserted is also discussed here encompassing biological areas with remarkable technological advances in the study of systems biology, from microorganisms to precision medicine.
Author: Robert E. Farrell Jr.
Publisher: Elsevier
ISBN: 0323916562
Category : Science
Languages : en
Pages : 962
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Book Description
RNA Methodologies: A Laboratory Guide for Isolation and Characterization, Sixth Edition provides the most up-to-date ribonucleic acid lab techniques for seasoned scientists and graduate students alike. This edition features new material on RNA sequencing, RNA in Situ Hybridization, non-coding RNAs, computational RNA biology, transcriptomes and bioinformatics, along with the latest advances in methods and protocols across the field of RNA investigation. As a leader in the field, Dr. Farrell provides a wealth of knowledge on the topic of RNA biology while also giving readers helpful hints and troubleshooting techniques from his own personal experience in this subject area. This book presents the essential knowledge and techniques to use when working with RNA for the experienced practitioner, while also aiding the beginner in fully understanding this important branch of molecular biology. Presents the latest information covering all aspects of working with RNA, delivering a holistic understanding of this leading field in molecular biology Builds from basic information on RNA techniques to in-depth protocols for specific applications Features new chapters on RNA sequencing and RNA in situ hybridization Includes new material on RNA clinical applications and innovations, including RNA therapeutics and RNA vaccines, with particular relevance to coronavirus Comprises the latest developments in transcriptomes and bioinformatics, with new material on computational RNA biology, RNA CHiP analysis, aptamer biology and RNA epigenetics
Author: Serghei Mangul
Publisher: Springer
ISBN: 3030139735
Category : Computers
Languages : en
Pages : 93
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Book Description
Advances in RNA-sequencing (RNA-seq) technologies have provided an unprecedented opportunity to explore the gene expression landscape across individuals, tissues, and environments by efficiently profiling the RNA sequences present in the samples. When a reference genome sequence or a transcriptome of the sample is available, mapping-based RNA-seq analysis protocols align the RNA-seq reads to the reference sequences, identify novel transcripts, and quantify the abundance of expressed transcripts.The reads that fail to map to the human reference, known as unmapped reads, are a large and often overlooked output of standard RNA-seq analyses. Even in carefully executed experiments, the unmapped reads can comprise a considerable fraction of the complete set of reads produced, and can arise due to technical sequencing produced by low-quality and error-prone copies of the nascent RNA sequence being sampled. Reads can also remain unmapped due to unknown transcripts, recombined B and T cell receptor sequences, A-to-G mismatches from A-to-I RNA editing, trans-splicing, gene fusion, circular RNAs, and the presence of non-host RNA sequences (e.g. bacterial, fungal, and viral organisms). Unmapped reads represent a rich resource for the study of B and T cell receptor repertoires and the human microbiome system—without incurring the expense of additional targeted sequencing.This book introduces and describes the Read Origin Protocol (ROP), a tool that identifies the origin of both mapped and unmapped reads. The protocol first identifies human reads using a standard high-throughput algorithm to map them onto a reference genome and transcriptome. After alignment, reads are grouped into genomic (e.g. CDS, UTRs, introns) and repetitive (e.g. SINEs, LINEs, LTRs) categories. The rest of the ROP protocol characterizes the remaining unmapped reads, which failed to map to the human reference sequences.
