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Oxford University Press (OUP), Briefings in Bioinformatics, p. bbv080

DOI: 10.1093/bib/bbv080

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

Journal article published in 2015 by Lavanya Kannan, Levi Waldron, Marcel Ramos, Angela Re, Nehme El-Hachem, Zhaleh Safikhani, Deena M. A. Gendoo, Martin Morgan, Sean Davis, David Gomez-Cabrero, Robert Castelo, Vincent J. Carey, Aedín C. Culhane ORCID, Kasper Daniel Hansen ORCID, Benjamin Haibe-Kains
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

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.