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Nucleic Acids Research Advance Access published online on April 23, 2009
Nucleic Acids Research, doi:10.1093/nar/gkp254
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© 2009 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ANNIE: integrated de novo protein sequence annotation

Ooi Hong Sain1, Kwo Chia Yee1, Michael Wildpaner2, Fernanda L. Sirota1, Birgit Eisenhaber3, Sebastian Maurer-Stroh1, Wong Wing Cheong1, Alexander Schleiffer4, Frank Eisenhaber1,5 and Georg Schneider1,*

1Bioinformatics Institute, A *Star, Singapore, 2Google Switzerland GmbH, Zuerich, Switzerland, 3Experimental Therapeutics Center, A *Star, Singapore, 4Research Institute of Molecular Pathology, Vienna, Austria and 5Department of Biological Sciences, National University of Singapore, Singapore

*To whom correspondence should be addressed. Tel: (65) 6478 8264; Fax: (65) 6478 9047; Email: georgs{at}bii.a-star.edu.sg

Received January 16, 2009. Revised March 31, 2009. Accepted April 6, 2009.

Function prediction of proteins with computational sequence analysis requires the use of dozens of prediction tools with a bewildering range of input and output formats. Each of these tools focuses on a narrow aspect and researchers are having difficulty obtaining an integrated picture. ANNIE is the result of years of close interaction between computational biologists and computer scientists and automates an essential part of this sequence analytic process. It brings together over 20 function prediction algorithms that have proven sufficiently reliable and indispensable in daily sequence analytic work and are meant to give scientists a quick overview of possible functional assignments of sequence segments in the query proteins. The results are displayed in an integrated manner using an innovative AJAX-based sequence viewer. ANNIE is available online at: http://annie.bii.a-star.edu.sg. This website is free and open to all users and there is no login requirement.


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