The genomics era has led to great improvements in the understanding of the importance of personalised/precision medicine and novel drug discovery methods. The BIOOPENER project targets key challenges in understanding the disease of genome (i.e., cancer) are:
The objective is to understand the tumorigenesis of various cancer types. The genetic and epigenetic changes are accumulated overtime transforming the normal tissue into invasive carcinoma.
The key approach is to link (connect) datasets, graphs and terminologies from a specific -omic level towards the broader, genetic, cellular and molecular context giving insight into cancer progression from a normal to healthy tissues with pathway components, mutations, associated phenotypes, and mechanism.
The BIOOPENER project aims to :
Version | Year |
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1.0 Covers Ovarian Cancer Type | 2016 |
A User Guide to Walk-Through Query Linked Genomics (QLG) 1.0
In order to find, access, aggregate, and use multisite fragmented biomedical repositories for direct use into analytical pipe lines, the BIOOPENER platform has significant scientific & technical features.
Provide access across multidimensional biomedical datasets as Linked Open Data (LOD)4 and provide intuitive data access, search, navigation and visualization.
Read MoreProvide access across multidimensional biomedical datasets as Linked Open Data (LOD)4 and provide intuitive data access, search, navigation and visualization.
Read MoreProvide users with the most comprehensive summary and data promoting exploratory analysis and Identifying functions of genes that play a relevant role in cancer development.
Read MoreProvides visualisation and aggregation of high- throughput biomedical datasets and interconnected biomedical visualisation i.e (Peaks & Motifs) .
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