Last Updated: February 5, 2002 We have developed a heuristic algorithm for associating molecular functions as defined by the Gene Ontology (GO) Consortium (See www.geneontology.org) to protein domains as listed in ProDom and CDD. The algorithm generates 'rules' for function-domain associations based on the intersection of functions assigned to gene products by the GO consortium that contain ProDom and/or CDD domains at varying levels of sequence similarity. Visit www.cbil.upenn.edu/GO to browse our rules and learn more about how we generated them. Each Release directory includes two subdirectories, "Rules" and "Predictions" The contents of these are described below. Rules Directory ================ From the Rules directory, you can download the learned domain-function associations. These rules can be applied to predict GO molecular functions for novel protein/gene/transcript sequences based on similarity to one or more domains. Note that we include a p-value threshold that can be used to help avoid spurious function associations. Accuracy of the Release 1 rules is estimated at 87% for ProDom and 84% for CDD rules (based on manual review of subset of rules). For Release 1, we have generated four sets of rules: ProDom_NO_IEA ProDom_ALL CDD_No_IEA CDD_ALL where NO_IEA indicates that we did not consider GO associations having only an IEA evidence codes. These are associations that were generated with other computational methods and have not been manually reviewed yet. A detailed description of the rule files available for download is included in the Rules directory. Predictions Directory ===================== From the Predictions directory, you can download GO associations we have generated based on the application of the above learned domain-function associations. For Release 1 of the rules, we have made GO function predictions for the following: musDoTS (allgenes.org release 3.0) humDoTS (allgenes.org release 3.0) SwissProt v39.22 S.Cerevisiae A.Thaliana C.Elegans Various combinations of rule applications were made. See the ReadMe in the Predictions directory for a detailed description. ============================================================= The CBIL Software and Data License, Version 1.0 Copyright (c) 2001 The Computational Biology and Informatics Laboratory (CBIL) at the University of Pennsylvania. All rights reserved. Redistribution and use of software in source and binary forms or of data, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code, binary software or data alone must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions as part of a package or product must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. The end-user documentation included with the redistribution, if any, must include the following acknowledgment: "This product includes software and/or data developed by CBIL at the Center for Bioinformatics at the University of Pennsylvania (http://www.pcbi.upenn.edu)." Alternately, this acknowledgment may appear in the software or with the data itself, if and wherever such third-party acknowledgments normally appear. 4. The names "CBIL" and "Penn Center for Bioinformatics" must not be used to endorse or promote products derived from this software/data without prior written permission. THIS SOFTWARE/DATA IS PROVIDED ``AS IS'' AND ANY EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL CBIL OR THE PENN CENTER FOR BIOINFORMATICS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ==================================================================== This license is based on the open source li