Transcriptome Data Analysis [E-Book] : Methods and Protocols / edited by Yejun Wang, Ming-an Sun.
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...
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Full text |
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Personal Name(s): | Sun, Ming-an, editor |
Wang, Yejun, editor | |
Imprint: |
New York, NY :
Humana Press,
2018
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Physical Description: |
X, 238 p. 55 illus., 50 illus. in color. online resource. |
Note: |
englisch |
ISBN: |
9781493977109 |
DOI: |
10.1007/978-1-4939-7710-9 |
Series Title: |
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Methods in molecular biology ;
1751 |
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- 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.