ANNIE: integrated de novo protein sequence annotation Export

@article{citeulike:4446509, abstract = {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. 10.1093/nar/gkp254}, author = {Ooi, Hong S. and Kwo, Chia Y. and Wildpaner, Michael and Sirota, Fernanda L. and Eisenhaber, Birgit and Maurer-Stroh, Sebastian and Wong, Wing C. and Schleiffer, Alexander and Eisenhaber, Frank and Schneider, Georg}, citeulike-article-id = {4446509}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/nar/gkp254}, citeulike-linkout-1 = {http://nar.oxfordjournals.org/content/37/suppl_2/W435.abstract}, citeulike-linkout-2 = {http://nar.oxfordjournals.org/content/37/suppl_2/W435.full.pdf}, citeulike-linkout-3 = {http://nar.oxfordjournals.org/cgi/content/abstract/37/suppl_2/W435}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/19389726}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=19389726}, day = {1}, doi = {10.1093/nar/gkp254}, journal = {Nucl. Acids Res.}, keywords = {algorithm, annotation, families, functional, fungal\_genomes, genome, pipeline, web}, month = {July}, number = {suppl\_2}, pages = {W435--440}, posted-at = {2009-11-03 12:50:46}, priority = {2}, title = {ANNIE: integrated de novo protein sequence annotation}, url = {http://dx.doi.org/10.1093/nar/gkp254}, volume = {37}, year = {2009} }

TY - JOUR ID - citeulike:4446509 L3 - citeulike-article-id:4446509 N2 - 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. 10.1093/nar/gkp254 IS - suppl_2 JF - Nucl. Acids Res. EP - 440 TI - ANNIE: integrated de novo protein sequence annotation VL - 37 SP - W435 KW - algorithm KW - annotation KW - families KW - functional KW - fungal_genomes KW - genome KW - pipeline KW - web AU - Ooi, Hong AU - Kwo, Chia AU - Wildpaner, Michael AU - Sirota, Fernanda AU - Eisenhaber, Birgit AU - Maurer-Stroh, Sebastian AU - Wong, Wing AU - Schleiffer, Alexander AU - Eisenhaber, Frank AU - Schneider, Georg PY - 2009/07/01/ UR - http://dx.doi.org/10.1093/nar/gkp254 ER -