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Springer, Lecture Notes in Computer Science, p. 128-142, 2014

DOI: 10.1007/978-3-319-08590-6_13

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ConQuR-Bio: Consensus Ranking with Query Reformulation for Biological Data

Journal article published in 2014 by Bryan Brancotte, Bastien Rance ORCID, Alain Denise, Sarah Cohen-Boulakia
This paper is available in a repository.
This paper is available in a repository.

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Abstract

This paper introduces ConQuR-Bio which aims at assisting scientists when they query public biological databases. Various reformu-lations of the user query are generated using medical terminologies. Such alternative reformulations are then used to rank the query results using a new consensus ranking strategy. The originality of our approach thus lies in using consensus ranking techniques within the context of query reformulation. The ConQuR-Bio system is able to query the Entrez-Gene NCBI database. Our experiments demonstrate the benefit of using ConQuR-Bio compared to what is currently provided to users. ConQuR-Bio is available to the bioinformatics community at http://conqur-bio.lri.fr.