Sequence-based feature prediction and annotation of proteins
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* Corresponding author: Søren Brunak brunak@cbs.dtu.dk
1 Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, DK-2800 Lyngby, Denmark
2 European Molecular Biology Laboratory, D-69117 Heidelberg, Germany
3 University of Bologna, Biocomputing Group, Via San Giacomo 9/2, 40126 Bologna, Italy
4 Center for Biomembrane Research and Stockholm Bioinformatics Center, Department of Biochemistry and Biophysics, Stockholm University, SE-106 91 Stockholm, Sweden
5 Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Melchor Fernández Almagro, 3, E-28029, Madrid, Spain
6 KCL Centre for Bioinformatics, School of Physical Sciences and Engineering, King's College London, London WC2R 2LS, UK
Genome Biology 2009, 10:206 doi:10.1186/gb-2009-10-2-206
Published: 2 February 2009Additional files
Additional data file 1:
A PDF containing a workflow combining the prediction and annotation tools of the Epipe method and an example output.
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