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RNA-Seq Data Analysis Protocol: Combining In-House and Publicly Available Data.
Journal article

RNA-Seq Data Analysis Protocol: Combining In-House and Publicly Available Data.

  • Schmid MW Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057, Zürich, Switzerland. schmid.m@access.uzh.ch.
  • 2017-09-23
Published in:
  • Methods in molecular biology (Clifton, N.J.). - 2017
Analysis
Data integration
Differential expression
Gene expression
Multigroup comparisons
Public data
RNA-Seq
Transcriptome
Workflow
Gene Expression Profiling
High-Throughput Nucleotide Sequencing
RNA
Sequence Analysis, RNA
Software
English Comparing gene expression profiles measured in a wide range of different tissue types, at different developmental stages, or under different environmental conditions can yield valuable insights into the mechanisms of cell/tissue specification and differentiation, or identify cell/tissue-type specific responses to environmental stimuli. Critical for such comparisons is the identical processing of data from different sources. This may also include the integration of a novel data set into an existing collection of data sets (e.g., in-house and publicly available data). Here, I describe a complete workflow for RNA-Seq data, from data processing steps to the comparison of gene expression profiles measured with RNA-Seq. I use publicly available data for demonstration purposes, but I also describe how to integrate your own data sets. The workflow runs on all three major operating systems (Linux, MacOS, and Windows). The scripts and the tutorial can be accessed on github.com/MWSchmid/RNAseq_protocol .
Language
  • English
Open access status
closed
Identifiers
Persistent URL
https://folia.unifr.ch/global/documents/191172
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