Omics phenotyping has become increasingly recognizedin our path to Precision Medicine. A
major computationalchallenge of our investigator community is to identify the necessarydata …

Biomarkers discovery research requires the integrated analyses of a variety of the data
across multiple domains, including clinical data, pathology data, gene expression …

Recent advances in molecular biology, Bioinformatics techniques have brought to an
explosion of the information about the spatial organisation of the DNA inside the nucleus. In …

Integration of different genomic profiles is challenging to understand complex diseases in a
multi-view manner. Computational method is needed to preserve useful information of data …

Computational bioinformatics workflows are extensively used to analyse genomics data.
With the unprecedented advancements in genomic sequence technology and opportunities …

Biomedical data exploration requires integrative analyses of large datasets using a diverse
ecosystem of tools. For more than a decade, the Galaxy project (https://galaxyproject. org) …

Increasingly complex biomedical data from diverse sources demands large storage, efficient
software and high performance computing for the data's computationally intensive analysis …

High throughput experimental platforms and diagnostic equipments available in clinical
settings and in research laboratories, such as magnetic resonance imaging, microarray …

Insight to complex problems may be revealed when domain data sets are viewed or
structured in new and innovative ways. Systems approaches to biomedical problems …

In order to handle the vast quantities of biological data generated by high-throughput
experimental technologies, the BioExtract Server (bioextract. org) has leveraged iPlant …