Entering edit mode
2.2 years ago
A. Blue
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0
I'm supposed to be doing a meta analysis of miRNA in cardiovascular diseases, but I don't know how to proceed and approach it. I'm a noob in bioinformatics, so if anyone could help me with the layout it would be very helpful. So far I've figured out some databases for getting the miRNA datasets and some tools for analysis in R programming. Rest I've no clue so as to how to do it further.
When you have no ideas on how to proceed, I would suggest you to look at the methods parts of published articles performing meta-analysis of miRNAs, because there are several ways to do it and it is better if you can make your own opinion
First of all, do you have a well-defined scientific question? Meta-analysis is just a buzzword, like "doing some sports"; but is it running, or cycling, and to what end, losing weight, getting fit, competing in the olympics. That all makes a huge difference in terms of how you "do sports", or do "meta-analysis".
That's really an issue. My guide simply asked me to do an miRNA meta analysis for cardiovascular diseases with the help of bioinformatics. That's all he said. Now I'm struggling with it...
In my experience poorly defined tasks are the ones that never end up revealing anything interesting and are just frustrating. Talk to your people, ask them which question you want to answer. CVD is very well researched already. With datasets that are already out there so without bringing in anything new and without a specific question at hand I doubt you are going to find anything others have missed so far. There must be a reason they ask you to do this, find out what it is.