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The false positive rate in SFP detection is an important consideration for application of SFPs to genetic mapping.
Analysis of gene expression levels as a quantitative trait (expression Quantitative Trait Locus: eQTL) is a promising application of SFPs.
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Considering the wide range of potential applications of detected SFPs, it is worthwhile to investigate the distribution of SFPs in the genome.
Deep tissues (synovial tissue and synovial fluid) were collected during surgery to compare SFP concentrations after application of SFPP or a commercially available flurbiprofen (FP) gel-type patch.
Study 2: After application of the SFPP for 12 h, SFP concentrations in the synovial tissue and synovial fluid were 14.8-fold (p = 0.002) and 32.7-fold (p < 0.001) higher, respectively, than those achieved by the FP patch.
Fig. 5 GeSNP prediction of SFPs in sorghum genes related to biofuel traits.
Given the numbers of SFPs as verified by sequencing we observed that SFPs with SNP were detected as efficiently as SFPs with multiple NP (Table 4), an observation contrary to an earlier report [8].
We further compared the detection sensitivity of SFPs containing SNP versus SFPs with multiple NP in order to test the biasness of detection, if any.
Similarly at estimated FDR of 10% the number of SFPs predicted in CP&RT dataset nearly doubled to 61055 (Table 1b) including 35730 unique SFPs.
Based on the distribution of SFPs per gene, most of the genes (~90%) accumulating SFPs possessed one or two SFPs per gene.
These are, obviously, not included in our set of SFPs.
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