Bioinformatic applications in psoriasis: genetics, transcriptomics, and microbiomics

Dermatology, Data and Informatics AND High-Risk Skin Cancer

Bioinformatic applications in psoriasis: genetics, transcriptomics, and microbiomics

Mar
2019
Vol. 38. No. 1
Jason E Parad, MPH, MBE | Wilson Liao, MD

Bioinformatics uses computationally intensive approaches
to make sense of complex biological data sets. Here we review the role of bioinformatics in 3 areas of biology: genetics, transcriptomics, and microbiomics. Examples of bioinformatics in each area are given with respect to psoriasis and psoriatic arthritis, related inflammatory disorders at the forefront of bioinformatic research in dermatology. While bioinformatic technologies and analyses have traditionally been developed and deployed in siloes, the field of integrative omics is on the horizon. Powered by the advent of machine learning, bioinformatic integration of large data sets has the potential to dramatically revolutionize our knowledge of pathogenetic mechanisms and therapeutic targets.

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