Mummichog searches
for enrichment patterns on metabolic network,
bypassing metabolite identification, to generate high-quality hypotheses directly from a LC-MS data table.
Format of input file (right click to save an example):
m/z | retention time | p-value | statistic |
---|---|---|---|
85.0278 | 59 | 0.002657 | -3.55 |
85.0472 | 124 | 0.730810 | -0.35 |
85.0653 | 68 | 0.086509 | 1.83 |
85.1007 | 16 | 0.057916 | -2.04 |
86.0595 | 67 | 0.076789 | -1.89 |
Please cite this paper if you use mummichog: Li et al. (2013) Predicting network activity from high throughput metabolomics. PLoS computational biology 9.7 (2013): e1003123.
The author can be reached at shuzhao.li at Gmail.