Protein function prediction and annotation in an integrated environment powered by web services (AFAWE)
Author(s) -
Anika Jöcker,
Fabian Hoffmann,
Andreas Groscurth,
Heiko Schoof
Publication year - 2008
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btn394
Subject(s) - annotation , computer science , workflow , pipeline (software) , function (biology) , task (project management) , software , information retrieval , interface (matter) , data mining , world wide web , artificial intelligence , database , programming language , operating system , management , bubble , evolutionary biology , maximum bubble pressure method , economics , biology
Many sequenced genes are mainly annotated through automatic transfer of annotation from similar sequences. Manual comparison of results or intermediate results from different tools can help avoid wrong annotations and give hints to the function of a gene even if none of the automated tools could return any result. AFAWE simplifies the task of manual functional annotation by running different tools and workflows for automatic function prediction and displaying the results in a way that facilitates comparison. Because all programs are executed as web services, AFAWE is easily extensible and can directly query primary databases, thereby always using the most up-to-date data sources. Visual filters help to distinguish trustworthy results from non-significant results. Furthermore, an interface to add detailed manual annotation to each gene is provided, which can be displayed to other users.
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