Journal Article

Protein function prediction and annotation in an integrated environment powered by web services (AFAWE)

Anika Jöcker, Fabian Hoffmann, Andreas Groscurth and Heiko Schoof

in Bioinformatics

Volume 24, issue 20, pages 2393-2394
Published in print October 2008 | ISSN: 1367-4803
Published online August 2008 | e-ISSN: 1460-2059 | DOI: https://dx.doi.org/10.1093/bioinformatics/btn394
Protein function prediction and annotation in an integrated environment powered by web services (AFAWE)

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Summary: 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.

Availability: AFAWE is available at http://bioinfo.mpiz-koeln.mpg.de/afawe/

Contact: afawe-admin@mpiz-koeln.mpg.de

Supplementary information: SIFTER pipeline (S1), AFAWE tutorial (S2).

Journal Article.  1323 words. 

Subjects: Bioinformatics and Computational Biology

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