Literature DB >> 11038334

Digital reviews in molecular biology: approaches to structured digital publication.

D L Steffen1, A E Levine, S Yarus, R A Baasiri, D A Wheeler.   

Abstract

MOTIVATION: It is widely appreciated that it is no longer possible for biomedical research scientists to keep up with as much of what is published in their field as they ought. One solution to this problem is to increase the efficiency of information use by moving away from the classical browsing model for scientific information dissemination towards an information on demand model which would allow researchers to access information quickly and efficiently only as they need it. The most common approach to this goal has been to use information retrieval technology to improve access to text databases of biomedical information. We are interested in exploring an alternative; encoding this information for storage in structured databases for efficient retrieval.
RESULTS: Two small databases described here are test beds for development of structured digital publication software; the Tumor Gene Database, containing information about genes which are the sites for cancer-causing mutations, and the Mammary Transgene Database, containing information about expression of transgenes in agriculturally important animals. Both have been successfully searched by users and edited by curators via the World Wide Web.

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Mesh:

Year:  2000        PMID: 11038334     DOI: 10.1093/bioinformatics/16.7.639

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


  3 in total

1.  OrCGDB: a database of genes involved in oral cancer.

Authors:  A E Levine; D L Steffen
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Extracting consistent knowledge from highly inconsistent cancer gene data sources.

Authors:  Xue Gong; Ruihong Wu; Yuannv Zhang; Wenyuan Zhao; Lixin Cheng; Yunyan Gu; Lin Zhang; Jing Wang; Jing Zhu; Zheng Guo
Journal:  BMC Bioinformatics       Date:  2010-02-05       Impact factor: 3.169

3.  Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists.

Authors:  Marco Masseroli; Osvaldo Galati; Mauro Manzotti; Karina Gibert; Francesco Pinciroli
Journal:  BMC Bioinformatics       Date:  2005-12-01       Impact factor: 3.169

  3 in total

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