RNAseq data was analyzed using GeneSifter software (VizX Labs, Seattle, WA). RNAseq reads were mapped to the Mus musculus reference genome build 37.2, and for this, the reads were trimmed by 15 base pairs at the five-prime end. Subsequently, transcript abundance was calculated by estimating the reads per kilobase of exon per million mapped reads (RPKM), and normalization to the number of mapped reads was used for comparison of two mRNA sets. A t test was used for pairwise comparison and a likelihood ratio test to adjust for distribution probability.
RNA Sequencing Workflow for Differential Gene Expression
RNAseq data was analyzed using GeneSifter software (VizX Labs, Seattle, WA). RNAseq reads were mapped to the Mus musculus reference genome build 37.2, and for this, the reads were trimmed by 15 base pairs at the five-prime end. Subsequently, transcript abundance was calculated by estimating the reads per kilobase of exon per million mapped reads (RPKM), and normalization to the number of mapped reads was used for comparison of two mRNA sets. A t test was used for pairwise comparison and a likelihood ratio test to adjust for distribution probability.
Variable analysis
- None explicitly mentioned
- Transcript abundance calculated by estimating the reads per kilobase of exon per million mapped reads (RPKM)
- RNA concentration estimated by Qubit 2.0 Fluorometer
- RNA integrity assessed using Agilent 2100 Bioanalyzer
- RNAseq libraries formed from approximately 500 ng total RNA of each pooled sample
- Paired-end sequencing on Illumina HiSeqH2000 at 50 base pairs, generating over 25 million paired reads per sample
- RNAseq reads mapped to the Mus musculus reference genome build 37.2
- Reads trimmed by 15 base pairs at the five-prime end
- Normalization to the number of mapped reads used for comparison of two mRNA sets
- T test used for pairwise comparison
- Likelihood ratio test used to adjust for distribution probability
- None explicitly mentioned
- None explicitly mentioned
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