Integrative RNA-seq and microarray data analysis reveals GC content and gene length biases in the psoriasis transcriptome

Abstract excerpt

Gene expression profiling of psoriasis has driven research advances and may soon provide the basis for clinical applications. For expression profiling studies, RNA-seq is now a competitive technology, but RNA-seq results may differ from those obtained by microarray. We therefore compared findings obtained by RNA-seq with those from eight microarray studies of psoriasis. RNA-seq and microarray datasets identified...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Bioinformatics and Genomic Networks
• Share to Cytokine Signaling Pathways and Interactions
• Share to Rheumatoid Arthritis Research and Therapies