Transcriptome Data Analysis

Methods and Protocols

Buch | Softcover

238 Seiten

2019 | Softcover reprint of the original 1st ed. 2018
Humana Press Inc. (Verlag)
978-1-4939-9264-5 (ISBN)

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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.

Comparison of Gene Expression Profiles in Non-Model Eukaryotic Organisms with RNA-Seq.- Microarray Data Analysis for Transcriptome Profiling.- Pathway and Network Analysis of Differentially Expressed Genes in Transcriptomes.- QuickRNASeq: Guide for Pipeline Implementation and for Interactive Results Visualization.- Tracking Alternatively Spliced Isoforms from Long Reads by SpliceHunter.- RNA-Seq-Based Transcript Structure Analysis with TrBorderExt.- Analysis of RNA Editing Sites from RNA-Seq Data Using GIREMI.- Bioinformatic Analysis of MicroRNA Sequencing Data.- Microarray-Based MicroRNA Expression Data Analysis with Bioconductor.- Identification and Expression Analysis of Long Intergenic Non-Coding RNAs.- Analysis of RNA-Seq Data Using TEtranscripts.- Computational Analysis of RNA-Protein Interactions via Deep Sequencing.- Predicting Gene Expression Noise from Gene Expression Variations.- A Protocol for Epigenetic Imprinting Analysis with RNA-Seq Data.- Single-Cell Transcriptome Analysis Using SINCERA Pipeline.- Mathematical Modeling and Deconvolution of Molecular Heterogeneity Identifies Novel Subpopulations in Complex Tissues.

Erscheinungsdatum	18.04.2019
Reihe/Serie	Methods in Molecular Biology ; 1751
Zusatzinfo	50 Illustrations, color; 5 Illustrations, black and white; X, 238 p. 55 illus., 50 illus. in color.
Verlagsort	Totowa, NJ
Sprache	englisch
Maße	178 x 254 mm
Themenwelt	Medizin / Pharmazie ► Medizinische Fachgebiete
Themenwelt	Studium ► 2. Studienabschnitt (Klinik) ► Humangenetik
Schlagworte	Biomarker discovery • Computational Techniques • Data processing • Gene structure analysis • Imprinting studies • RNA editing • RNA-Seq
ISBN-10	1-4939-9264-3 / 1493992643
ISBN-13	978-1-4939-9264-5 / 9781493992645
Zustand	Neuware