Literature DB >> 12139435

Information extraction in molecular biology.

Christian Blaschke1, Lynette Hirschman, Alfonso Valencia.   

Abstract

Information extraction has become a very active field in bioinformatics recently and a number of interesting papers have been published. Most of the efforts have been concentrated on a few specific problems, such as the detection of protein-protein interactions and the analysis of DNA expression arrays, although it is obvious that there are many other interesting areas of potential application (document retrieval, protein functional description, and detection of disease-related genes to name a few). Paradoxically, these exciting developments have not yet crystallised into general agreement on a set of standard evaluation criteria, such as the ones developed in fields such as protein structure prediction, which makes it very difficult to compare performance across these different systems. In this review we introduce the general field of information extraction, we outline the status of the applications in molecular biology, and we then discuss some ideas about possible standards for evaluation that are needed for the future development of the field.

Mesh:

Year:  2002        PMID: 12139435     DOI: 10.1093/bib/3.2.154

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


  9 in total

1.  Search and retrieve. Large-scale data generation is becoming increasingly important in biological research. But how good are the tools to make sense of the data?

Authors:  Alfonso Valencia
Journal:  EMBO Rep       Date:  2002-05       Impact factor: 8.807

2.  New challenges in gene expression data analysis and the extended GEPAS.

Authors:  Javier Herrero; Juan M Vaquerizas; Fátima Al-Shahrour; Lucía Conde; Alvaro Mateos; Javier Santoyo Ramón Díaz-Uriarte; Joaquín Dopazo
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  From gene networks to gene function.

Authors:  Thomas Schlitt; Kimmo Palin; Johan Rung; Sabine Dietmann; Michael Lappe; Esko Ukkonen; Alvis Brazma
Journal:  Genome Res       Date:  2003-12       Impact factor: 9.043

4.  Automatic extraction of mutations from Medline and cross-validation with OMIM.

Authors:  Dietrich Rebholz-Schuhmann; Stephane Marcel; Sylvie Albert; Ralf Tolle; Georg Casari; Harald Kirsch
Journal:  Nucleic Acids Res       Date:  2004-01-02       Impact factor: 16.971

5.  Simple tricks for improving pattern-based information extraction from the biomedical literature.

Authors:  Quang Long Nguyen; Domonkos Tikk; Ulf Leser
Journal:  J Biomed Semantics       Date:  2010-09-24

6.  Applications of natural language processing in biodiversity science.

Authors:  Anne E Thessen; Hong Cui; Dmitry Mozzherin
Journal:  Adv Bioinformatics       Date:  2012-05-22

7.  Finding genomic ontology terms in text using evidence content.

Authors:  Francisco M Couto; Mário J Silva; Pedro M Coutinho
Journal:  BMC Bioinformatics       Date:  2005-05-24       Impact factor: 3.169

8.  Normalizing biomedical terms by minimizing ambiguity and variability.

Authors:  Yoshimasa Tsuruoka; John McNaught; Sophia Ananiadou
Journal:  BMC Bioinformatics       Date:  2008-04-11       Impact factor: 3.169

9.  FamPlex: a resource for entity recognition and relationship resolution of human protein families and complexes in biomedical text mining.

Authors:  John A Bachman; Benjamin M Gyori; Peter K Sorger
Journal:  BMC Bioinformatics       Date:  2018-06-28       Impact factor: 3.169

  9 in total

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