Myers Chad L, Robson Drew, Wible Adam, Hibbs Matthew A, Chiriac Camelia, Theesfeld Chandra L, Dolinski Kara, Troyanskaya Olga G
Department of Computer Science, Princeton University, 35 Olden Street, Princeton, NJ 08544, USA.
Genome Biol. 2005;6(13):R114. doi: 10.1186/gb-2005-6-13-r114. Epub 2005 Dec 19.
We have developed a general probabilistic system for query-based discovery of pathway-specific networks through integration of diverse genome-wide data. This framework was validated by accurately recovering known networks for 31 biological processes in Saccharomyces cerevisiae and experimentally verifying predictions for the process of chromosomal segregation. Our system, bioPIXIE, a public, comprehensive system for integration, analysis, and visualization of biological network predictions for S. cerevisiae, is freely accessible over the worldwide web.
我们开发了一种通用概率系统，通过整合多种全基因组数据，基于查询发现特定通路的网络。通过准确恢复酿酒酵母中31个生物过程的已知网络，并通过实验验证染色体分离过程的预测，对该框架进行了验证。我们的系统bioPIXIE是一个用于酿酒酵母生物网络预测的整合、分析和可视化的公共综合系统，可通过万维网免费访问。
