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Time course data analysis

Hi, I want to apply time-course analysis to my RNA editing data. Here I have a set of RNA editing data, the data represent the total number of edited sites in every gene. And now I have data of four time points, and two replicates of the mutant sample, and two replicates of wild-type sample. But I don't actually know the distribution of the total number of edited sites and most of the current software fits data as negative binomial distribution or something else. Thus I wanna know if there some methods that can be applied to my data without prior distribution assumption? Thanks in advance!

rna-seq ngs

What is "some data"?

Um, it the sum number of RNA edited sites.

...and that means? A count matrix? In general you should try to formulate your question in a way that users see what data you have, in which format and what the analysis goal is, rather than making users guess and ask multiple times. That usually helps getting good suggestions and answers. Please consider editing your question (edit button) and adding these information.

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