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178</td><td class="tasknav" id="issueid"> 179<div align="right"> 180<div id="skinconf-txtlink"></div> 181</div> 182</td> 183</tr> 184</table> 185</div> 186<div id="bodycol"> 187<div id="apphead"> 188<h2> 189<em>MeMo (Metabolomic Modelling) project page</em> 190</h2> 191</div> 192<div class="app" id="projecthome"> 193 194 195<p> 196This web site provides information about MeMo, a schema for metabolomic modelling 197developed at <a href="http://dbkgroup.org/">DBK group</a>, 198<a href="http://www.manchester.ac.uk/">The University of Manchester</a>. 199</p> 200 201 202<p> 203The enormous flood of omics data brings the need for well-designed and 204-curated databases, which can store, handle and disseminate large amounts 205of data efficiently and readily lend themselves to data mining techniques 206used to extract hidden patterns from the data. The extracted facts can be 207further explored in simulation-based analyses providing predictions to be 208tested in vivo/vitro. Such a framework consisting of modelling, machine 209learning and simulation can help achieve the systems biology objective 210(to understand the way in which the heterogeneous parts of biological systems 211combine to form the whole). 212</p> 213 214 215<p> 216The first step is to develop and standardise the omics models and populate 217them with curated data. The proteomics field has significantly advanced in 218such efforts: <a href="http://www.hupo.org/">HUPO</a> has driven the 219<a href="http://psidev.sourceforge.net/">Protein Standards Initiative</a> 220in order to develop an exchange standard for proteomics data (MIAPE) based on 221the <a href="http://pedrodownload.man.ac.uk/">PEDRo</a> schema. Similarly, 222<a href="http://www.mged.org/Workgroups/MAGE/mage-ml.html">MAGE-ML</a> 223represents an emerging standard for transcriptomics. Some attempts have been 224made in metabolomics, e.g. in <a href="http://www.armet.org/">ArMet</a>, 225a data model for plant metabolomics. 226</p> 227 228 229<p> 230We developed MeMo as a similar approach for <em>yeast metabolomics</em> with 231an emphasis on <em>metabolomic footprinting</em> as a strategy for 232<em>functional genomics</em>. 233</p> 234 235 236</div> 237</div> 238</div> 239</td> 240</tr> 241</table> 242<div id="footer"> 243<table cellpadding="4" cellspacing="0" border="0"> 244<tr> 245<td></td><td> 246 Copyright © 2005 247 The University of Manchester. 248 All rights reserved. 249 <br>
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