【摘 要】
：
For the same samples,we can generate multiomics data,e.g.epi-proteomics(histones),whole-proteomics,phospho-proteomics.Generally,we do the research in each individual proteomics.What if we build the ne
【机 构】
：
University of Pennsylvania
论文部分内容阅读
For the same samples,we can generate multiomics data,e.g.epi-proteomics(histones),whole-proteomics,phospho-proteomics.Generally,we do the research in each individual proteomics.What if we build the networks between these multiomics data? One breakthrough point is to look at the changes of histone modifications,the changes of regulated genes related to histone modifications,and the changes of phosphopeptides on these regulated genes.We can image that the data size will grow very fast,e.g.three omics mentioned above,seven time points in each omics,triplicates for each time points(3×7×3=63).After the data acquisition,the most important work is to correctly identify and quantify each data and build up the networks between these multiomics data.Once the workflow is finished,it will be very clear to find out the relationship between histone modifications and regulated genes.Then it can be used as a direction for drugs treatment.Therefore,the workflow will build up a bridge to connect foundation research and clinical application.
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