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Hi
I have mapped RNAs to the genome sequence I am working on. Following this I estimated the percentage of the genome that is repetitive and I have used this is to infer the number of RNAs that would map to repetitive regions if mapping was random. I now have an estimate of the actual number of RNAs that map to repetitive regions.
I was advised use the Poisson distribution to determine whether the two numbers were significantly different. The result is that the difference is so signficant that it is 0. The problem is I am not well versed in statistics and so I am wondering if this method is commonly used in bioinformatics and how it is that simply comparing two numbers can produce a valid result. Is there a better way to do this or is using the Poisson distrubution an adequate test?
Thanks very much
I have mapped RNAs to the genome sequence I am working on. Following this I estimated the percentage of the genome that is repetitive and I have used this is to infer the number of RNAs that would map to repetitive regions if mapping was random. I now have an estimate of the actual number of RNAs that map to repetitive regions.
I was advised use the Poisson distribution to determine whether the two numbers were significantly different. The result is that the difference is so signficant that it is 0. The problem is I am not well versed in statistics and so I am wondering if this method is commonly used in bioinformatics and how it is that simply comparing two numbers can produce a valid result. Is there a better way to do this or is using the Poisson distrubution an adequate test?
Thanks very much