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

Bryan Brancotte 1, 2 Bastien Rance 3, 4 Alain Denise 5, 1, 2 Sarah Cohen-Boulakia 1, 2
2 AMIB - Algorithms and Models for Integrative Biology
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France
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
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Submitted on : Thursday, December 4, 2014 - 3:18:53 PM
Last modification on : Thursday, January 20, 2022 - 2:21:24 PM
Long-term archiving on: : Saturday, April 15, 2017 - 4:01:09 AM


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Bryan Brancotte, Bastien Rance, Alain Denise, Sarah Cohen-Boulakia. ConQuR-Bio: Consensus Ranking with Query Reformulation for Biological Data. 10th International Conference, Data Integration in the Life Sciences, Jul 2014, Lisbon, Portugal. pp.128 - 142, ⟨10.1007/978-3-319-08590-6_13⟩. ⟨hal-01091053⟩



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