Biblio-MetReS for user-friendly mining of genes and biological processes in scientific documents
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One way to initiate the reconstruction of molecular circuits is by using automated text-mining techniques. Developing more efficient methods for such reconstruction is a topic of active research, and those methods are typically included by bioinfor- maticians in pipelines used to mine and curate
large literature datasets. Nevertheless, experimental biologists have a limited number of available user-friendly tools that use text-mining for network reconstruction and require no programming skills to use. One of these tools is Biblio-MetReS. Originally, this tool permitted an on-the-fly analysis of documents contained in a number of web-based literature databases to identify co-occurrence of proteins/genes. This approach ensured results that were always up-to-date with the latest live version of the databases. However, this `up-to- dateness' came at the cost of large execution times. Here we report an evolution of the application Biblio-MetReS that permits constructing co-occurrence networks for genes, GO processes, Pathways, or any combination of the three types of entities and graphically represent those entities.We show that the performance of Biblio- MetReS in identifying gene co-occurrence is as least as good as that of other com- parable applications (STRING and iHOP). In addition, we also show that the iden- tification of GO processes is on par to that reported in the latest BioCreAtIvE chal- lenge. Finally, we also report the implementation of a new strategy that combines on-the-fly analysis of new documents with preprocessed information from docu- ments that were encountered in previous analyses. This combination simultaneously decreases program run time and maintains `up-to-dateness' of the results.
Is part ofPeerJ, 2014, núm. 2, pàg. 276-289
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Usié Chimenos, Anabel; Karathia, Hiren; Teixidó Torrelles, Ivan; Valls Marsal, Joan; Faus i Torà, Xavier; Alves, Rui; Solsona Tehàs, Francesc (BioMed Central, 2011)Background: Reconstruction of genes and/or protein networks from automated analysis of the literature is one of the current targets of text mining in biomedical research. Some user-friendly tools already perform this ...
Vilaplana Mayoral, Jordi; Solsona Tehàs, Francesc; Teixidó Torrelles, Ivan; Usié Chimenos, Anabel; Karathia, Hiren; Alves, Rui; Mateo, Jordi (Hindawi Publishing Corporation, 2014)Our group developed two biological applications, Biblio-MetReS and Homol-MetReS, accessing the same database of organisms with annotated genes. Biblio-MetReS is a data-mining application that facilitates the reconstruction ...
Salvadó López, Baldiri; Karathia, Hiren; Usié Chimenos, Anabel; Vilaprinyo Terré, Ester; Omholt, Stig; Sorribas Tello, Albert; Alves, Rui (Elsevier, 2011)Most aspects of molecular biology can be understood in terms of biological design principles. These principles can be loosely defined as qualitative and quantitative features that emerge in evolution and recur more ...