Skip Navigation

This Article
Right arrow FREE Full Text (Print PDF) 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 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 (16)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Moller, S
Right arrow Articles by Apweiler, R
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Moller, S
Right arrow Articles by Apweiler, R
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Bioinformatics, Vol 15, 219-227, Copyright © 1999 by Oxford University Press

ARTICLES

EDITtoTrEMBL: a distributed approach to high-quality automated protein sequence annotation

S Moller, U Leser, W Fleischmann and R Apweiler
European Bioinformatics Institute, Hinxton, UK. moeller@ebi.ac.uk

SUMMARY: Many databases in molecular biology face the problem that the ever increasing rate of data production can no longer be handled by traditional methods, especially human curation. Therefore, a number of projects are currently investigating methods for automated sequence annotation. This paper describes the EBI's approach to this problem for protein sequences by integration of arbitrary analysis programs into a distributed and highly flexible environment. Our software framework allows an individual treatment of sequences depending on their particular properties, which is achieved through a high-level description of the preconditions and capabilities of analysing modules. This not only improves the overall performance of the annotation process, as unnecessary steps are avoided, but also enhances its quality since dependencies between different modules are taken into account. We have implemented a prototype and use it in the production of TrEMBL releases. AVAILABILITY: Upon request.
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
 Brief BioinformHome page
E. Merelli, G. Armano, N. Cannata, F. Corradini, M. d'Inverno, A. Doms, P. Lord, A. Martin, L. Milanesi, S. Moller, et al.
Agents in bioinformatics, computational and systems biology
Brief Bioinform, January 1, 2007; 8(1): 45 - 59.
[Abstract] [Full Text] [PDF]

Home page
 GeneticsHome page
M. E. Keniry, H. A. Kemp, D. M. Rivers, and G. F. Sprague Jr.
The Identification of Pcl1-Interacting Proteins That Genetically Interact With Cla4 May Indicate a Link Between G1 Progression and Mitotic Exit
Genetics, March 1, 2004; 166(3): 1177 - 1186.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
T. K. Attwood, M. J. Blythe, D. R. Flower, A. Gaulton, J. E. Mabey, N. Maudling, L. McGregor, A. L. Mitchell, G. Moulton, K. Paine, et al.
PRINTS and PRINTS-S shed light on protein ancestry
Nucleic Acids Res., January 1, 2002; 30(1): 239 - 241.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
T. K. Attwood, M. D. R. Croning, D. R. Flower, A. P. Lewis, J. E. Mabey, P. Scordis, J. N. Selley, and W. Wright
PRINTS-S: the database formerly known as PRINTS
Nucleic Acids Res., January 1, 2000; 28(1): 225 - 227.
[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.