MetaboAnalyst 3.0-making metabolomics more meaningful

被引:2518
作者
Xia, Jianguo [1 ,2 ,3 ]
Sinelnikov, Igor V. [4 ]
Han, Beomsoo [4 ]
Wishart, David S. [4 ,5 ,6 ]
机构
[1] McGill Univ, Inst Parasitol, Ste Anne De Bellevue, PQ H9X 3V9, Canada
[2] McGill Univ, Dept Anim Sci, Ste Anne De Bellevue, PQ H9X 3V9, Canada
[3] McGill Univ, Dept Microbiol & Immunol, Montreal, PQ H3A 2B4, Canada
[4] Univ Alberta, Dept Comp Sci, Edmonton, AB T6G 2E8, Canada
[5] Univ Alberta, Dept Biol Sci, Edmonton, AB T6G 2E9, Canada
[6] Natl Inst Nanotechnol, Edmonton, AB T6G 2M9, Canada
关键词
WEB-BASED TOOL; DAIRY-COWS; MICROARRAY; POWER; METABOLISM; VISUALIZATION; IDENTIFY; DATABASE; PROFILE; CANCER;
D O I
10.1093/nar/gkv380
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
MetaboAnalyst (www.metaboanalyst.ca) is a web server designed to permit comprehensive metabolomic data analysis, visualization and interpretation. It supports a wide range of complex statistical calculations and high quality graphical rendering functions that require significant computational resources. First introduced in 2009, MetaboAnalyst has experienced more than a 50X growth in user traffic (>50 000 jobs processed each month). In order to keep up with the rapidly increasing computational demands and a growing number of requests to support translational and systems biology applications, we performed a substantial rewrite and major feature upgrade of the server. The result is MetaboAnalyst 3.0. By completely re-implementing the MetaboAnalyst suite using the latest web framework technologies, we have been able substantially improve its performance, capacity and user interactivity. Three new modules have also been added including: (i) a module for biomarker analysis based on the calculation of receiver operating characteristic curves; (ii) a module for sample size estimation and power analysis for improved planning of metabolomics studies and (iii) a module to support integrative pathway analysis for both genes and metabolites. In addition, popular features found in existing modules have been significantly enhanced by upgrading the graphical output, expanding the compound libraries and by adding support for more diverse organisms.
引用
收藏
页码:W251 / W257
页数:7
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