Gajendra Doniparthi

"Indexing Methods for Interactive Exploration of Large-Scale Bio-Science Research Data"

The advancement of high-throughput technologies has considerably increased the amount of research data generated from bio-science experiments. The integrated analysis of these large datasets provides opportunities to understand complex biological systems better. Our research begins with structuring and standardizing the experimental bio-science metadata from individual -omics studies. We develop a novel research data management framework that uses a Polystore model for interactively querying and exploring the standardised metadata along with huge volumes of contextual data (raw data). It also offers a multi-step interactive exploration process for integrated bio-science data analysis, enabling scientists to explore combined research data augmented with schema-less contextual information progressively. We also develop novel indexing algorithms to speed up the interactive exploration when dealing with large-scale cross-omics datasets. The research goal is to help develop a standard application to curate, annotate, maintain and explore integrated experimental meta-data from cross-omics studies.

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