Literature DB >> 20829445

PubDNA Finder: a web database linking full-text articles to sequences of nucleic acids.

Miguel García-Remesal1, Alejandro Cuevas, David Pérez-Rey, Luis Martín, Alberto Anguita, Diana de la Iglesia, Guillermo de la Calle, José Crespo, Víctor Maojo.   

Abstract

SUMMARY: PubDNA Finder is an online repository that we have created to link PubMed Central manuscripts to the sequences of nucleic acids appearing in them. It extends the search capabilities provided by PubMed Central by enabling researchers to perform advanced searches involving sequences of nucleic acids. This includes, among other features (i) searching for papers mentioning one or more specific sequences of nucleic acids and (ii) retrieving the genetic sequences appearing in different articles. These additional query capabilities are provided by a searchable index that we created by using the full text of the 176 672 papers available at PubMed Central at the time of writing and the sequences of nucleic acids appearing in them. To automatically extract the genetic sequences occurring in each paper, we used an original method we have developed. The database is updated monthly by automatically connecting to the PubMed Central FTP site to retrieve and index new manuscripts. Users can query the database via the web interface provided. AVAILABILITY: PubDNA Finder can be freely accessed at http://servet.dia.fi.upm.es:8080/pubdnafinder

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Year:  2010        PMID: 20829445     DOI: 10.1093/bioinformatics/btq520

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Annotating genes and genomes with DNA sequences extracted from biomedical articles.

Authors:  Maximilian Haeussler; Martin Gerner; Casey M Bergman
Journal:  Bioinformatics       Date:  2011-02-16       Impact factor: 6.937

2.  Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research.

Authors:  D de la Iglesia; R E Cachau; M García-Remesal; V Maojo
Journal:  Comput Sci Discov       Date:  2013-11-27

3.  e-MIR2: a public online inventory of medical informatics resources.

Authors:  Guillermo de la Calle; Miguel García-Remesal; Nelida Nkumu-Mbomio; Casimir Kulikowski; Victor Maojo
Journal:  BMC Med Inform Decis Mak       Date:  2012-08-02       Impact factor: 2.796

4.  Nanoinformatics: a new area of research in nanomedicine.

Authors:  Victor Maojo; Martin Fritts; Diana de la Iglesia; Raul E Cachau; Miguel Garcia-Remesal; Joyce A Mitchell; Casimir Kulikowski
Journal:  Int J Nanomedicine       Date:  2012-07-24

5.  Using nanoinformatics methods for automatically identifying relevant nanotoxicology entities from the literature.

Authors:  Miguel García-Remesal; Alejandro García-Ruiz; David Pérez-Rey; Diana de la Iglesia; Víctor Maojo
Journal:  Biomed Res Int       Date:  2012-12-27       Impact factor: 3.411

  5 in total

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