O-miner: An integrative platform for automated analysis and mining of-omics data

Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
Nucleic Acids Research (Impact Factor: 9.11). 05/2012; 40(Web Server issue):W560-8. DOI: 10.1093/nar/gks432
Source: PubMed


High-throughput profiling has generated massive amounts of data across basic, clinical and translational research fields.
However, open source comprehensive web tools for analysing data obtained from different platforms and technologies are still
lacking. To fill this gap and the unmet computational needs of ongoing research projects, we developed O-miner, a rapid, comprehensive,
efficient web tool that covers all the steps required for the analysis of both transcriptomic and genomic data starting from
raw image files through in-depth bioinformatics analysis and annotation to biological knowledge extraction. O-miner was developed
from a biologist end-user perspective. Hence, it is as simple to use as possible within the confines of the complexity of
the data being analysed. It provides a strong analytical suite able to overlay and harness large, complicated, raw and heterogeneous
sets of profiles with biological/clinical data. Biologists can use O-miner to analyse and integrate different types of data
and annotations to build knowledge of relevant altered mechanisms and pathways in order to identify and prioritize novel targets
for further biological validation. Here we describe the analytical workflows currently available using O-miner and present
examples of use. O-miner is freely available at

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