Transcriptome data analysis : methods and protocols / edited by Yejun Wang, Ming-an Sun. - 1 online resource (x, 238 pages) : illustrations (some color) - Methods in molecular biology, volume 1751 1940-6029 ; . - Methods in molecular biology (Clifton, N.J.) ; v. 1751. .

Includes bibliographical references and index.

Comparison of gene expression profiles in nonmodel 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 noncoding 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 / 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 / Han Cheng, Yejun Wang, and Ming-an Sun -- Ming-an Sun, Xiaojian Shao, and Yejun Wang -- Qianli Huang, Ming-an Sun, and Ping Yan -- Wen He, Shanrong Zhao, Chi Zhang, Michael S. Vincent, and Baohong Zhang -- Zheng Kuang and Stefan Canzar -- Yejun Wang, Ming-an Sun, and Aaron P. White -- Qing Zhang -- Xiaonan Fu and Daoyuan Dong -- Emilio Mastriani, Rihong Zhai, and Songling Zhu -- Ming-an Sun, Rihong Zhai, Qing Zhang, and Yejun Wang -- Ying Jin and Molly Hammell -- Lei Li, Konrad U. Forstner, and Yanjie Chao -- Xiaojian Shao and Ming-an Sun -- Jinfeng Zou, Daoquan Xiang, Raju Datla, and Edwin Wang -- Minzhe Guo and Yan Xu -- Niya Wang, Lulu Chen, and Yue Wang.

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.

9781493977109 1493977105

Genetic transcription.
Transcription, Genetic.
Sequence Analysis, RNA.
Genetic transcription.

Laboratory Manual.
Electronic books.



577.2:519.254 Q8

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