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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.?
Part I: General Protocols on Transcriptome Data Analysis
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1. Comparison of Gene Expression Profiles in Non-Model Eukaryotic Organisms with RNA-Seq
??????????? Han Cheng, Yejun Wang, and Ming-an Sun
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2. Microarray Data Analysis for Transcriptome Profiling
??????????? Ming-an Sun, Xiaojian Shao, and Yejun Wang
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3. Pathway and Network Analysis of Differentially Expressed Genes in Transcriptomes
??????????? Qianli Huang, Ming-an Sun, and Ping Yan
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4. QuickRNASeq: Guide for Pipeline Implementation and for Interactive Results Visualization
??????????? Wen He, Shanrong Zhao, Chi Zhang, Michael S. Vincent, and Baohong Zhang
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Part II: Objective-Specialized Transcriptome Data Analysis
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