Skip Navigation

This Article
Right arrow Full Text Freely available
Right arrow Print PDF (34K) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (2)
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Licciulli, F.
Right arrow Articles by Attimonelli, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Licciulli, F.
Right arrow Articles by Attimonelli, M.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Nucleic Acids Research, Vol 27, Issue 1 365-367, Copyright © 1999 by Oxford University Press


ARTICLES

KEYnet: a keywords database for biosequences functional organization

F Licciulli, D Catalano, D D'Elia, V Lorusso and M Attimonelli
Department of Biochemistry and Molecular Biology, Faculty of Sciences, University of Bari, 70126 Bari, Italy.

KEYnet is a database where gene and protein names are hierarchically structured. Particular care has been devoted to the search and organisation of synonyms. The structuring is based on biological criteria in order to assist the user in the data search and to minimise the risk of loss of information. Links to the EMBL data library by the entry name and the accession number have been implemented. KEYnet is available through the World Wide Web at the following site: http://www.ba.cnr.it/keynet.html. Recently KEYnet has incorporated specific gene name classifications, which can be browsed starting from the above-mentioned KEYnet home page: the Mitochondrial Gene Names classification and the Rat Gene Names classification. KEYnet database has also been structured in a flatfile format and can be queried through SRS (http://bio-www.ba.cnr.t:8000/srs).
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Nucleic Acids ResHome page
M. Attimonelli, N. Altamura, R. Benne, A. Brennicke, J. M. Cooper, D. D'Elia, A. d. Montalvo, B. d. Pinto, M. De Robertis, P. Golik, et al.
MitBASE : a comprehensive and integrated mitochondrial DNA database. The present status
Nucleic Acids Res., January 1, 2000; 28(1): 148 - 152.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
G. Pesole, C. Gissi, D. Catalano, G. Grillo, F. Licciulli, S. Liuni, M. Attimonelli, and C. Saccone
MitoNuc and MitoAln: two related databases of nuclear genes coding for mitochondrial proteins
Nucleic Acids Res., January 1, 2000; 28(1): 163 - 165.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
D. Catalano, F. Licciulli, D. D'Elia, and M. Attimonelli
Update of KEYnet: a gene and protein names database for biosequences functional organisation
Nucleic Acids Res., January 1, 2000; 28(1): 372 - 373.
[Abstract] [Full Text] [PDF]



Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.