Treffer: EDITto TrEMBL : a distributed approach to high-quality automated protein sequence annotation

Title:
EDITto TrEMBL : a distributed approach to high-quality automated protein sequence annotation
Authors:
MÖLLER, S, LESER, U, FLEISCHMANN, W, APWEILER, R
Source:
Selection of papers presented at the German Conference on Bioinformatics (GCB'98, Cologne, Germany, October 1998Bioinformatics (Oxford. Print). 15(3):219-227
Publisher Information:
Oxford: Oxford University Press, 1999.
Publication Year:
1999
Physical Description:
print, 19 ref
Original Material:
INIST-CNRS
Subject Terms:
Bioinformatics, Bioinformatique, Sciences biologiques et medicales, Biological and medical sciences, Sciences biologiques fondamentales et appliquees. Psychologie, Fundamental and applied biological sciences. Psychology, Generalites, General aspects, Mathématiques biologiques. Statistiques. Modèles. Métrologie. Informatique en biologie (généralités), Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects), Traitement informatique, Computerized processing, Tratamiento informático, Algorithme, Algorithm, Algoritmo, Base donnée, Database, Base dato, Logiciel, Software, Logicial, Méthode, Method, Método, Protéine, Protein, Proteína, Prédiction, Prediction, Predicción, Système automatique, Automatic system, Sistema automático, Séquence aminoacide, Aminoacid sequence, Secuencia aminoácido, Annotation
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
European Bioinformatics Institute, Hinxton, United Kingdom
ISSN:
1367-4803
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=1832316
Rights:
Copyright 1999 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Biological sciences. Generalities. Modelling. Methods

Generalities in biological sciences
Accession Number:
edscal.1832316
Database:
PASCAL Archive

Weitere Informationen

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.