Titel:	Transcriptome Data Analysis
Titelzusatz:	Methods and Protocols
Mitwirkende:	Wang, Yejun [HerausgeberIn]
	Sun, Ming-an [HerausgeberIn]
Verf.angabe:	edited by Yejun Wang, Ming-an Sun
Verlagsort:	New York, NY
Verlag:	Humana Press
E-Jahr:	2018
Jahr:	[2018]
Umfang:	X, 238 Seiten
Illustrationen:	Illustrationen
Gesamttitel/Reihe:	Methods in Molecular Biology ; 1751
	Springer protocols
Fussnoten:	Includes bibliographical references and index
Ang. zum Inhalt:	Comparison of gene expression profiles in nonmodel eukaryotic organisms with RNA-Seq / Han Cheng, Yejun Wang, and Ming-an Sun
	Microarray data analysis for transcriptome profiling / Ming-an Sun, Xiaojian Shao, and Yejun Wang
	Pathway and network analysis of differentially expressed genes in transcriptomes / Qianli Huang, Ming-an Sun, and Ping Yan
	QuickRNASeq : guide for pipeline implementation and for interactive results visualization / Wen He, Shanrong Zhao, Chi Zhang, Michael S. Vincent, and Baohong Zhang
	Tracking alternatively spliced isoforms from long reads by SpliceHunter / Zheng Kuang and Stefan Canzar
	RNA-seq-based transcript structure analysis with TrBorderExt / Yejun Wang, Ming-an Sun, and Aaron P. White
	Analysis of RNA editing sites from RNA-seq data using GIREMI / Qing Zhang
	Bioinformatic analysis of MicroRNA sequencing data / Xiaonan Fu and Daoyuan Dong
	Microarray-based MicroRNA expression data analysis with bioconductor / Emilio Mastriani, Rihong Zhai, and Songling Zhu
	Identification and expression analysis of long intergenic noncoding RNAs / Ming-an Sun, Rihong Zhai, Qing Zhang, and Yejun Wang
	Analysis of RNA-seq data using TEtranscripts / Ying Jin and Molly Hammell
	Computational analysis of RNA-protein interactions via deep sequencing / Lei Li, Konrad U. Forstner, and Yanjie Chao
	Predicting gene expression noise from gene expression variations / Xiaojian Shao and Ming-an Sun
	Protocol for epigenetic imprinting analysis with RNA-Seq data / Jinfeng Zou, Daoquan Xiang, Raju Datla, and Edwin Wang
	Single-cell transcriptome analysis using SINCERA pipeline / Minzhe Guo and Yan Xu
	Mathematical modeling and deconvolution of molecular heterogeneity identifies novel subpopulations in complex tissues / Niya Wang, Lulu Chen, and Yue Wang.
ISBN:	978-1-4939-7709-3
	978-1-4939-9264-5
	1-4939-7709-1
Bestellnr.:	Bestellnummer: 978-1-4939-7709-3
	Bestellnummer: 86852471
Abstract:	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
Schlagwörter:	(s)Transkriptom    / (s)Datenanalyse
	(s)Transkriptom    / (s)Datenanalyse
Sprache:	eng
RVK-Notation:	WC 7700
K10plus-PPN:	1635988101
Verknüpfungen:	→ Übergeordnete Aufnahme