Literature DB >> 16212775

Online tools to support literature-based discovery in the life sciences.

Marc Weeber1, Jan A Kors, Barend Mons.   

Abstract

In biomedical research, the amount of experimental data and published scientific information is overwhelming and ever increasing, which may inhibit rather than stimulate scientific progress. Not only are text-mining and information extraction tools needed to render the biomedical literature accessible but the results of these tools can also assist researchers in the formulation and evaluation of novel hypotheses. This requires an additional set of technological approaches that are defined here as literature-based discovery (LBD) tools. Recently, several LBD tools have been developed for this purpose and a few well-motivated, specific and directly testable hypotheses have been published, some of which have even been validated experimentally. This paper presents an overview of recent LBD research and discusses methodology, results and online tools that are available to the scientific community.

Mesh:

Year:  2005        PMID: 16212775     DOI: 10.1093/bib/6.3.277

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  26 in total

1.  Graph-based methods for discovery browsing with semantic predications.

Authors:  Bartłomiej Wilkowski; Marcelo Fiszman; Christopher M Miller; Dimitar Hristovski; Sivaram Arabandi; Graciela Rosemblat; Thomas C Rindflesch
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 2.  Biomedical language processing: what's beyond PubMed?

Authors:  Lawrence Hunter; K Bretonnel Cohen
Journal:  Mol Cell       Date:  2006-03-03       Impact factor: 17.970

Review 3.  Frontiers of biomedical text mining: current progress.

Authors:  Pierre Zweigenbaum; Dina Demner-Fushman; Hong Yu; Kevin B Cohen
Journal:  Brief Bioinform       Date:  2007-10-30       Impact factor: 11.622

Review 4.  Role of in silico tools in gene discovery.

Authors:  Bing Yu
Journal:  Mol Biotechnol       Date:  2008-12-20       Impact factor: 2.695

5.  Semantic MEDLINE for discovery browsing: using semantic predications and the literature-based discovery paradigm to elucidate a mechanism for the obesity paradox.

Authors:  Michael J Cairelli; Christopher M Miller; Marcelo Fiszman; T Elizabeth Workman; Thomas C Rindflesch
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

6.  Discovering discovery patterns with Predication-based Semantic Indexing.

Authors:  Trevor Cohen; Dominic Widdows; Roger W Schvaneveldt; Peter Davies; Thomas C Rindflesch
Journal:  J Biomed Inform       Date:  2012-07-26       Impact factor: 6.317

7.  Arrowsmith two-node search interface: a tutorial on finding meaningful links between two disparate sets of articles in MEDLINE.

Authors:  Neil R Smalheiser; Vetle I Torvik; Wei Zhou
Journal:  Comput Methods Programs Biomed       Date:  2009-01-30       Impact factor: 5.428

8.  EpiphaNet: An Interactive Tool to Support Biomedical Discoveries.

Authors:  Trevor Cohen; G Kerr Whitfield; Roger W Schvaneveldt; Kavitha Mukund; Thomas Rindflesch
Journal:  J Biomed Discov Collab       Date:  2010-09-21

9.  Biomedical text mining and its applications.

Authors:  Raul Rodriguez-Esteban
Journal:  PLoS Comput Biol       Date:  2009-12-24       Impact factor: 4.475

10.  Structuring and extracting knowledge for the support of hypothesis generation in molecular biology.

Authors:  Marco Roos; M Scott Marshall; Andrew P Gibson; Martijn Schuemie; Edgar Meij; Sophia Katrenko; Willem Robert van Hage; Konstantinos Krommydas; Pieter W Adriaans
Journal:  BMC Bioinformatics       Date:  2009-10-01       Impact factor: 3.169

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