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Integrated visualization of a multi-omics study of starvation in mouse intestine
2014
Journal of Integrative Bioinformatics
Our understanding of complex biological processes can be enhanced by combining different kinds of high-throughput experimental data, but the use of incompatible identifiers makes data integration a challenge. We aimed to improve methods for integrating and visualizing different types of omics data. To validate these methods, we applied them to two previous studies on starvation in mice, one using proteomics and the other using transcriptomics technology. We extended the PathVisio software with
doi:10.2390/biecoll-jib-2014-235
pmid:24675236
fatcat:cvakxhzyenb2nhtz7yjgjvrmku