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These results show that it is essential to utilize alignment mapping quality to reduce the FPR caused by the wrong alignment of short NGS sequences with low to medium sequencing depth.
Here, we employed a medium sequencing depth (5 20x/site per individual, on average) approach called genotyping by genome reducing and sequencing (GGRS) to detect genome-wide selection signatures of two domestic pig breeds (Yorkshire and Landrace) that have been under intensive selection for traits of muscle development, growth and behavior.
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The comparison of LongSAGE and Real-time RT-PCR data suggests that the sequencing depth applied in this experiment limits the LongSAGE detection to transcripts with medium to high copy numbers in B. napus seeds.
To make it possible to assess how Ngs Relates performance depends on average sequencing depth we simulated such data for five different average depths ranging from low (1, 2 and 4×) over medium (8×) to relatively high depth (16×).
(B) Sequencing depth distribution.
The results also showed that increase in sequencing depth has no effect on the sequence alignment.
Results were adjusted for sequencing depth by converting to counts per million sequences detected (cpm).
Sequencing depth.
TG performed sequencing depth simulations.
Another potential contributing factor is sequencing depth.
Preferably along with increased sequencing depth.
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