Bruggeman Jorn, Heringa Jaap, Brandt Bernd W
Department of Theoretical Biology, Faculty of Earth & Life Sciences, VU University Amsterdam, The Netherlands.
Nucleic Acids Res. 2009 Jul;37(Web Server issue):W179-84. doi: 10.1093/nar/gkp370. Epub 2009 May 13.
A wealth of information on metabolic parameters of a species can be inferred from observations on species that are phylogenetically related. Phylogeny-based information can complement direct empirical evidence, and is particularly valuable if experiments on the species of interest are not feasible. The PhyloPars web server provides a statistically consistent method that combines an incomplete set of empirical observations with the species phylogeny to produce a complete set of parameter estimates for all species. It builds upon a state-of-the-art evolutionary model, extended with the ability to handle missing data. The resulting approach makes optimal use of all available information to produce estimates that can be an order of magnitude more accurate than ad-hoc alternatives. Uploading a phylogeny and incomplete feature matrix suffices to obtain estimates of all missing values, along with a measure of certainty. Real-time cross-validation provides further insight in the accuracy and bias expected for estimated values. The server allows for easy, efficient estimation of metabolic parameters, which can benefit a wide range of fields including systems biology and ecology. PhyloPars is available at: http://www.ibi.vu.nl/programs/phylopars/.
从对系统发育相关物种的观察中,可以推断出有关某一物种代谢参数的大量信息。基于系统发育的信息可以补充直接的经验证据,并且如果对感兴趣的物种进行实验不可行,那么该信息就特别有价值。PhyloPars网络服务器提供了一种统计上一致的方法,该方法将不完整的经验观察集与物种系统发育相结合,以生成所有物种的完整参数估计集。它建立在一个先进的进化模型之上,并扩展了处理缺失数据的能力。由此产生的方法能最佳地利用所有可用信息,以生成比临时替代方法精确一个数量级的估计值。上传一个系统发育树和不完整的特征矩阵就足以获得所有缺失值的估计值以及一个确定性度量。实时交叉验证能进一步深入了解估计值预期的准确性和偏差。该服务器允许轻松、高效地估计代谢参数,这能使包括系统生物学和生态学在内的广泛领域受益。PhyloPars可在以下网址获取:http://www.ibi.vu.nl/programs/phylopars/ 。