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Approximately, 37.5% (7,531) of the appressorial significant tags and 35.6% (7,135) of the mycelial significant tags were specific to each stage.
Similarly, 40 to 50% of the significant tags matched to the predicted coding sequences (CDS) [ 13].
After performing a clustering analysis with the total tags, 12,531 (61.7%) and 12,927 76.7%) significant tags and 7,768 (38.3%) and 3,500 (21.3%) non-significant tags were identified from mycelial and appressorial tissues, respectively (Table 1).
The MPSS analyses identified 12,531 and 12,927 distinct significant tags from mycelia and appressoria, respectively, while the RL-SAGE analysis identified 16,580 distinct significant tags from the mycelial library.
In comparison with the MPSS libraries, more significant tags were identified in the mycelial RL-SAGE library.
Significant tags are those with ≥ 2 copies per tag in RL-SAGE and ≥ 4 copies per tag in MPSS.
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The simulation results show that the decoupled mechanisms can reduce significant tag area with a slight increase of the average access time per instruction.
Thirteen SNPs in five vitamin D pathway genes were significantly associated with RCC risk using an additive model (number of significant tag SNPs): VDR 5), RXRA 5), CYP24A1(1), GC(1), and STAT1(1).
We have confirmed that there is a significant tag-position bias which affects both Classic and Signature MPSS data.
Our analysis reveals that there exists significant tag-position bias in both Classic and Signature MPSS data.
A bicarbonate salt screen revealed that American Chemical Society (ACS) and industrial grade NaHCO3 induced the highest TAG accumulation (% w/ w), whereas Na2CO3 did not induce significant TAG accumulation.
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