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Transcriptome Data Analysis

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Cover of 'Transcriptome Data Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Comparison of Gene Expression Profiles in Nonmodel Eukaryotic Organisms with RNA-Seq
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    Chapter 2 Microarray Data Analysis for Transcriptome Profiling
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    Chapter 3 Pathway and Network Analysis of Differentially Expressed Genes in Transcriptomes
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    Chapter 4 QuickRNASeq: Guide for Pipeline Implementation and for Interactive Results Visualization
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    Chapter 5 Tracking Alternatively Spliced Isoforms from Long Reads by SpliceHunter
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    Chapter 6 RNA-Seq-Based Transcript Structure Analysis with TrBorderExt
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    Chapter 7 Analysis of RNA Editing Sites from RNA-Seq Data Using GIREMI
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    Chapter 8 Bioinformatic Analysis of MicroRNA Sequencing Data
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    Chapter 9 Microarray-Based MicroRNA Expression Data Analysis with Bioconductor
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    Chapter 10 Identification and Expression Analysis of Long Intergenic Noncoding RNAs
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    Chapter 11 Analysis of RNA-Seq Data Using TEtranscripts
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    Chapter 12 Computational Analysis of RNA–Protein Interactions via Deep Sequencing
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    Chapter 13 Predicting Gene Expression Noise from Gene Expression Variations
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    Chapter 14 A Protocol for Epigenetic Imprinting Analysis with RNA-Seq Data
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    Chapter 15 Single-Cell Transcriptome Analysis Using SINCERA Pipeline
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    Chapter 16 Mathematical Modeling and Deconvolution of Molecular Heterogeneity Identifies Novel Subpopulations in Complex Tissues
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