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Old 09-29-2010, 11:22 PM   #1
not just another member
Location: Belgium

Join Date: Aug 2010
Posts: 264
Default miRDeep -v and -z parameters


I'm using miRDeep to discover new miRNA in Illumina HTS data. I don't understand the -v and the -z parameters.

here's the definition in the readme of the script

-v (for instance, -v 5) varies the cut-off. This is the single most important and difficult option. In
general, if you are missing a large fraction of known miRNAs that you know are in the dataset, you should
lower the cut-off. If you make the permuted controls (see below) and get many false positives, you should
raise the cut-off. As a rule of thumb, the cut-off should probably not be lowered below 0 or 1 unless the
dataset is _highly_ enriched in miRNA sequences.

the definiton is ok, but how to set a good thresold ? on what is it filtering ?

-z scores the stems below the potential precursor sequence for potential Drosha recognition. In general,
more base pairings between the 10 nt flanking the potential precursor suggest a tighter stem and gives a
higher score contribution. For each number of base pairings b in the stem, the probability p(b) of a
miRNA precursor hairpin or a background hairpin having p(b) was estimated, and log-odd score contributions
were calculated. When this option is used, we recommend that a slightly higher cut-off is used (as default

can someone explain me that in other words, I'm a little lost there.

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Old 10-04-2010, 06:37 AM   #2
not just another member
Location: Belgium

Join Date: Aug 2010
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another question about the permutation script : how can i calculate the false positive rate from the result of the permutations ?
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