Explorative search of distributed bio-data to answer complex biomedical questions

Area of Science:

• Bioinformatics
• Computational Biology
• Life Sciences

Background:

• Increasing volumes of biomedical-molecular data present challenges in identifying reliable and relevant information for complex research questions.
• Addressing intricate biomedical queries requires comprehensive searching and exploration across diverse, distributed data sources.
• Search Computing offers a framework for managing and integrating ranked results from heterogeneous search services.

Purpose of the Study:

• To present a novel application of Search Computing for the explorative search and integration of distributed biomedical-molecular data.
• To facilitate the answering of complex biomedical questions by integrating search results from multiple sources.

Main Methods:

• Modeling and registering available bioinformatics search services within the Search Computing framework.
• Developing the Bioinformatics Search Computing application (Bio-SeCo) utilizing these registered services.
• Providing an integrated environment for search, exploration, and ranking-aware combination of heterogeneous data.

Main Results:

• The Bio-SeCo application has been created and made publicly available.
• Bio-SeCo offers an integrated environment simplifying the search, exploration, and combination of data from various bioinformatics services.
• The application provides global results to support complex, multi-topic biomedical questions.

Conclusions:

• Bio-SeCo enables scientists to explore large and heterogeneous biomedical-molecular datasets effectively.
• The application supports iterative search refinement, allowing users to expand or narrow queries for optimal results.
• Bio-SeCo offers automated support for exploratory integrated bio search, crucial for data-driven knowledge discovery in the Life Sciences.