Recent development of next-generation sequencing (NGS) has opened new horizons for modern biology: almost every method that used to be performed on a single-gene basis can now be performed genome-wide, providing biologists with better controls, improved understanding of their system and multiple unexpected discoveries. These novel techniques include RNA-Seq, ChIP-Seq, DNase-Seq, MNase-Seq, GRO-Seq, ATAC-Seq and others. On the “wet lab” side, these methods are established and can be performed by experienced molecular biologists. However, analysis of the resulting data requires computational expertise that most traditional biologists do not possess, creating a gap between data and knowledge. In order to allow biologists to reap the benefits of these powerful technologies, we have developed BioWardrobe, a data analysis platform for NGS data. Our aim is to provide biologists with tools for viewing, comparing, integrating and sharing NGS results, with specific focus on epigenomic and transcriptomic research. BioWardrobe provides investigators with new insights into basic biology and disease mechanisms. Researchers at the Cincinnati Academic Health Center can access BioWardrobe through Epigenomics Data Analysis Core.

Bioinformatics for Epigenomics illustration.