Public data and open source tools for multi-assay genomic investigation of disease

Molecular interrogation of a biological sample through DNA sequencing, RNA and microRNA profiling, proteomics and other assays, has the potential to provide a systems level approach to predicting treatment response and disease progression, and to developing precision therapies. Large publicly funded projects have generated extensive and freely available multi-assay data resources; however, bioinformatic and statistical methods for the analysis of such experiments are still nascent. We review multi-assay genomic data resources in the areas of clinical oncology, pharmacogenomics and other perturbation experiments, population genomics and regulatory genomics and other areas, and tools for data acquisition. Finally, we review bioinformatic tools that are explicitly geared toward integrative genomic data visualization and analysis. This review provides starting points for accessing publicly available data and tools to support development of needed integrative methods.The authors’ work was funded by the National Cancer Institute [U24CA180996 to MM], the National Institute on Minority Health and Health Disparities [MD007599 to LW] and the NCI Intramural Research Program [SD] of the National Institutes of Health. Spanish MINECO grant TIN2011-22826 to RC. BHK was supported by the Gattuso Slaight Personalized Cancer Medicine Fund at Princess Margaret Cancer Centre. ZS was supported by the Cancer Research Society (Canada). DMAG was supported by the Brain Canada-CIBC Brain Cancer Research Training Award AR was supported by the Biotechnology start-up project of the University of Trento. AC was supported by National Cancer Institute 1U19 AI111224-01 and the Assistant Secretary of Defense Health Program, through the Breast Cancer Research Program, Award No. W81XWH-15-1-0013