kicheolkim / RNAseq_QuantSeq_Fancy

QuantSeq 3'mRNAseq data analysis

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QuantSeq 3'mRNAseq data analysis

Code for RNA-Seq data analysis of the paper titled "Aberrant oligodendroglial-vascular interactions disrupt the Blood Brain Barrier triggering CNS inflammation" (Jianqin Niu, Hui-Hsin Tsai, Kimberly Hoi, Nanxin Huang, Guangdan Yu, Kicheol Kim, Sergio Baranzini, Lan Xiao, Jonah R. Chan, Stephen P.J. Fancy). Paper published in Nature Neuroscience (22, pages 709–718(2019)) https://www.nature.com/articles/s41593-019-0369-4

The sequencing library was prepared according to the manufacturer's instructions (Lexogen QuantSeq 3'mRNA-seq FWD for Illumina).

Analysis workflow

1. Trim Galore v0.4.4 with CutAdapt v1.14: Trimming illumina adaptor

2. FastQC v0.11.6: QC of fastq file

3. STAR aligner v2.5.0a: sequence alignment

4. Statistical analysis using R and Bioconductor

  • R version 3.5.1 (2018-07-02) and Bioconductor version 3.7 (BiocInstaller 1.30.0)
  • Additional packages: ggplot2_3.1.0, RColorBrewer_1.1-2, pheatmap_1.0.10, DESeq2_1.20.0, readr_1.2.1

References


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QuantSeq 3'mRNAseq data analysis

License:GNU General Public License v3.0


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Language:R 100.0%