ANNIE: integrated de novo protein sequence annotation

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...

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Veröffentlicht in:Nucleic acids research 2009-07, Vol.37 (suppl-2), p.W435-W440
Hauptverfasser: Ooi, Hong Sain, Kwo, Chia Yee, Wildpaner, Michael, Sirota, Fernanda L, Eisenhaber, Birgit, Maurer-Stroh, Sebastian, Wong, Wing Cheong, Schleiffer, Alexander, Eisenhaber, Frank, Schneider, Georg
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Sprache:eng
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Zusammenfassung: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.
ISSN:0305-1048
1362-4962
DOI:10.1093/nar/gkp254