RNA-seq and Heatmap generation

YY Yongguang Yang
ML Marissa Leonard
ZL Zhenhua Luo
SY Syn Yeo
GB Gregory Bick
MH Mingang Hao
CC Chunmiao Cai
MC Mahmoud Charif
JW Jiang Wang
JG Jun-Lin Guan
EL Elyse E. Lower
XZ Xiaoting Zhang
ask Ask a question
Favorite

RNA sequencing libraries were generated by using a TruSeq stranded mRNA library prep kit and sequenced using Illumina HisEq 2000. Single-end RNA-seq reads were mapped to the reference mouse genome (mm10) using TopHat v.2.1.0 (Trapnell et al., 2012). Transcript quantification and differential expression analysis were performed by Cufflinks v2.2.1 and Cuffdiff 2, respectively (Trapnell et al., 2012). For differentially expression analysis, the fold-change cutoff was set at 1.5 or higher. Benjamini-Hochberg false discovery rate adjusted P value less than 0.05 was considered statistically significant. Heatmaps were generated by GENE-E (https://software.broadinstitute.org/GENE-E/index.html) using RPKM output from Cufflinks. Rows were clustered using Pearson correlation metric and average linkage.

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

post Post a Question
0 Q&A