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This presents an important resource for mining biological information.
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This may facilitate many aspects of in-depth mining of biological information relevant to the fenretinide-induced apoptosis.
Our robust transcriptome profiling approach facilitated the in-depth mining of biological information relevant to oxidative stress-mediated apoptosis, including the prediction of upstream transcription factors involved in gene regulation.
In order to mine the biological information in the final gene list, pathway analysis was conducted to map these genes to known pathways (using Gene Ontology terms as proxy).
At Indiana University we have an ongoing project with Eli Lilly to develop web-service based tools for integrative mining of chemical and biological information.
Such deep analyses included multiple platforms, e.g., whole tumor genome sequencing, miRNA expression, RNAseq, mutations, and DNA copy number that provide rich datasets for the scientific community to mine and extract meaningful biological information (hypothesis generation) [ 73, 74].
However, researchers who interested in further data mining prefer resources with comprehensive biological information rather than raw data depositories.
Literature mining allows the extraction of meaningful biological information from publications to generate networks [ 6].
Computational tools are essential to analyse the vast mines of archived data and generate biological information.
His research interests are biological information retrieval and data mining.
Data mining is thus essential for deducing significant biological information such as the identification of new biological mechanisms or putative drug targets.
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