Transcriptome Data Analysis : Methods and Protocols /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Wang, Yejun. (Editor), Sun, Ming-an. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Humana, 2018.
Edition:1st ed. 2018.
Series:Methods in Molecular Biology, 1751
Subjects:
Table of Contents:
  • 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.