Summary: New techniques in sample preparation allow high throughput analysis of samples on the transcriptional as well as on the metabolic level. We present a service accessible via the web that allows the analysis of integrated data sets that combine gene-expression data and metabolic data. After uploading, data sets can be normalized, clustered by various methods and results can be graphically visualized. All calculations are carried out on a server, so even time- and memory-consuming analyses can be done independently of the performance of the client.
CITATION STYLE
Daub, C. O., Kloska, S., & Selbig, J. (2003). MetaGeneAlyse: Analysis of integrated transcriptional and metabolite data. Bioinformatics, 19(17), 2332–2333. https://doi.org/10.1093/bioinformatics/btg321
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