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Pathway Processor: A Tool for Integrating Whole-Genome Expression Results into Metabolic Networks |
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Notes for this articleThey have used fold-change values and then run singed fisher exact test on these values to decide which of the 92 metabolic KEGG's pathways are significantly differently expressed in two experiments.
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Abstract10.1101/gr.226602 We have developed a new tool to visualize expression data on metabolic pathways and to evaluate which metabolic pathways are most affected by transcriptional changes in whole-genome expression experiments. Using the Fisher Exact Test, the method scores biochemical pathways according to the probability that as many or more genes in a pathway would be significantly altered in a given experiment by chance alone. This method has been validated on diauxic shift experiments and reproduces well known effects of carbon source on yeast metabolism. The analysis is implemented with , one of the tools of , a new statistical package for the analysis of whole-genome expression data. Results from multiple experiments can be compared, reducing the analysis from the full set of individual genes to a limited number of pathways of interest. The pathways are visualized with , an open-source visualization software package, and the relationship between genes in the pathways can be examined in detail using , the second program of the package. This program features a graphical output displaying differences in expression on metabolic charts of the biochemical pathways to which the open reading frames are assigned. [Supplementary materials are available at and.]
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