Question: Resources for a systems biology approach to multiomics.
gravatar for bio.erikson
11 weeks ago by
bio.erikson10 wrote:

I have been tasked to analyze a rich dataset consisting of transcriptomics, proteomics and metabolomics. I want to take a systems biology approach and explore the data and find some new questions to test. I am new to the field of systems biology, and I am trying to find some resources to help me on my endeavor. I have found a few papers using correlation networks for transcriptomics and I have a copy of An Introduction to Systems Biology by Uri Alon in the mail. But I have yet to find any papers that actually use all three types of data in an analysis. And I am struggling to find a resource on how to practically carry out such an analysis, especially on the proteomics and metabolomics side of things. Any recommendations for good systems biology papers and examples of software/pipelines that would be useful in my case would be much appreciated.

ADD COMMENTlink modified 10 weeks ago by doctor.dee005130 • written 11 weeks ago by bio.erikson10

It is usually a good idea to collect data with some idea of what one wants to get out of it. What kind of question can be addressed with your data depends on what the data represents and the context in which it was collected. How you approach your data analysis will depend on the question you want to address.

ADD REPLYlink written 10 weeks ago by Jean-Karim Heriche16k
gravatar for doctor.dee005
10 weeks ago by
Bioinformatics Center, Pune
doctor.dee005130 wrote:

There are very few tools available for such king of study latest one I know is MetaComp. However, you can anytime integrate multiOmics data after individual analysis. The output of individual omics data is usually used by such integrative tools. In a research paper of MeatComp, they have listed some other tools as well. You are free to explore them. But, first, finish the analysis of individual Omics data.

ADD COMMENTlink written 10 weeks ago by doctor.dee005130
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