Thu, 21 Aug 2008 15:17:32 BST CiteULike: heliopais King http://www.citeulike.org/user/heliopais/author/King CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/heliopais/article/1158625 <i>Bioinformatics, Vol. 19, No. 18. (12 December 2003), pp. 2502-2504.</i><br /><br />Summary: FuncAssociate is a web-based tool to help researchers use Gene Ontology attributes to characterize large sets of genes derived from experiment. Distinguishing features of FuncAssociate include the ability to handle ranked input lists, and a Monte Carlo simulation approach that is more appropriate to determine significance than other methods, such as Bonferroni or [IMG]f1.gif" BORDER="0">idak p-value correction. FuncAssociate currently supports 10 organisms (Vibrio cholerae, Shewanella oneidensis, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Arabidopsis thaliana, Caenorhaebditis elegans, Drosophila melanogaster, Mus musculus, Rattus norvegicus and Homo sapiens). Availability: FuncAssociate is freely accessible at http://llama.med.harvard.edu/Software.html. Source code (in Perl and C) is freely available to academic users as is'. 10.1093/bioinformatics/btg363 Characterizing gene sets with FuncAssociate Gabriel Berriz Oliver King Barbara Bryant Chris Sander Frederick Roth doi:10.1093/bioinformatics/btg363 Bioinformatics, Vol. 19, No. 18. (12 December 2003), pp. 2502-2504. 2007-03-13T21:39:59-00:00 2003 Bioinformatics 19 18 2502 2504 gene_ontology tools http://www.citeulike.org/user/heliopais/article/2372284 <i>BMC Bioinformatics, Vol. 9 (12 February 2008), 97.</i> Using a logical model to predict the growth of yeast KE Whelan RD King doi:10.1186/1471-2105-9-97 BMC Bioinformatics, Vol. 9 (12 February 2008), 97. 2008-02-14T01:41:58-00:00 2008 BMC Bioinformatics 1471-2105 9 97 genetic_regulatory_network