Integration of a plethora of genomic and biochemical data enables large-scale prediction of cellular functions.
Such data enable larger, more timely, more representative and more affordable comparisons of cancer survival than any other approach and they can be invaluable in monitoring the success of cancer control strategies.
Availability of in silico gene panel analysis reduces the risk of incidental findings, while centralized data storage enables large multi-center study designs, automated and retrospective updates of annotations and data traceability.
Open data enables unprecedented large scale collaboration on efforts to clean up, link together, deliver and represent all different kinds of information.
The technologies of cloud computing and mobile devices create more challenges to privacy (Benkler 2016), and big data enables very large-scale breaches (Matwin 2013).
Second, TRIPS-plus measures increase provisions concerning data exclusivity, enabling large pharmaceutical companies to prevent or delay generic competition.
This software module has been implemented into a flowsheet simulator environment that contains all required physical and chemical data banks and enables large-scale process optimisation.
The ability to accurately detect rare variants including indels from pooled sequence data can enable large-scale sequencing studies of GWAS-associated genes or loci for a particular disease to assess the collective contribution of low-frequency functional variants.
Using a real-world translational bioinformatics analysis as a case study, we demonstrate that cloud computing is a viable and economical technology that enables large-scale data integration and analysis for studies in genomic medicine.
Imputation based on a shared set of markers in data sets genotyped on different platforms enables large-scale meta-analyses (Barrett et al. 2008; de Bakker et al. 2008; Zeggini et al. 2008).
While advances in information technology can enable large volumes of data to be processed and analyzed quickly, the success is highly dependent on having adequate hardware, sufficient internet access, and common data architecture between systems, IT professionals, and support to ensure systems maintain functionality.
