Literature DB >> 10222409

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

S Möller1, U Leser, W Fleischmann, R Apweiler.   

Abstract

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.

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Year:  1999        PMID: 10222409     DOI: 10.1093/bioinformatics/15.3.219

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


  7 in total

1.  PRINTS-S: the database formerly known as PRINTS.

Authors:  T K Attwood; M D Croning; D R Flower; A P Lewis; J E Mabey; P Scordis; J N Selley; W Wright
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  PRINTS and PRINTS-S shed light on protein ancestry.

Authors:  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; P Scordis
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

3.  The identification of Pcl1-interacting proteins that genetically interact with Cla4 may indicate a link between G1 progression and mitotic exit.

Authors:  Megan E Keniry; Hilary A Kemp; David M Rivers; George F Sprague
Journal:  Genetics       Date:  2004-03       Impact factor: 4.562

4.  AutoFACT: an automatic functional annotation and classification tool.

Authors:  Liisa B Koski; Michael W Gray; B Franz Lang; Gertraud Burger
Journal:  BMC Bioinformatics       Date:  2005-06-16       Impact factor: 3.169

5.  Genepi: a blackboard framework for genome annotation.

Authors:  Stéphane Descorps-Declère; Danielle Ziébelin; François Rechenmann; Alain Viari
Journal:  BMC Bioinformatics       Date:  2006-10-12       Impact factor: 3.169

6.  Sma3s: a three-step modular annotator for large sequence datasets.

Authors:  Antonio Muñoz-Mérida; Enrique Viguera; M Gonzalo Claros; Oswaldo Trelles; Antonio J Pérez-Pulido
Journal:  DNA Res       Date:  2014-02-05       Impact factor: 4.458

7.  Prediction of Metabolic Pathway Involvement in Prokaryotic UniProtKB Data by Association Rule Mining.

Authors:  Imane Boudellioua; Rabie Saidi; Robert Hoehndorf; Maria J Martin; Victor Solovyev
Journal:  PLoS One       Date:  2016-07-08       Impact factor: 3.240

  7 in total

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