What to do with data that has low read depth
Read Depth.
In the data which has this structure
pos ind1-1 ind1-2 ind2-1 ind2-2
1 20 0 15 100
2 0 1 2 50
There is 20,000 position or call variants because every position means SNP. There are 10 individual every individual has 2 replicates. When I looked at the DP, I found there are many ZEROs. according to many papers they call it gap. because there is no read in this position, what I understand from the data above every replicates has its won read depth.
What can I do with low read depth. maybe it will increase the false positive??
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2 answers
Normally you would filter by some minimal read depth, since any calls resulting from low-depth are unreliable.
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I found the answer, in VCF files if you have no read (0) , the genotype will be ./. (missing)
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