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First, following the principle of constant comparison, the investigators examined each transcript in relation to the others to ensure that the codebook and our evolving interpretation of the findings reliably followed from the data.[11] Second, different investigators read the data and collaborated to come up with a shared interpretation.
Together, these results corroborate the correlation between the spatial and temporal expression profile of the EgPG4 transcript in relation to ethylene and cell separation observed by qPCR, and provides further evidence for an important function for this transcript during fruit abscission.
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Nevertheless, due to the fact that we used gene-specific 5'-RACE products in a semi-nested PCR approach this might have led to an artificial over representation of alternative PEG10 transcripts in relation to the suggested major TSS.
We explored the antisense transcripts in relation to the miRNA targets by extracting the expression data for Arabidopsis miRNA target genes from existing high-resolution (25 36 b.p. probe size) whole-genome tiling micro-array datasets [82], [83].
The genes analyzed and fold changes were loaded into GenMapp (http://genmapp.org) [38] and MAPPFinder [39] software packages to evaluate the transcripts in relation to known biological processes, molecular function and cellular component based on Gene Ontology (GO) terms [40] and contributed maps (i.e. local MAPPs).
This function is used to normalize frequencies of transcripts in relation to library sizes.
To examine the expression of miR-9 transcripts in relation to Hes1 in detail, we used double FISH.
To quantify the expression of the primary miR-9-2 transcrints in relation to Hes1 we used double FISH.
MR was the lead researcher and undertook analysis of the transcripts in relation to the model developed.
Thematic analysis was used to examine the interview transcripts in relation to factors that contribute to positive, negative or neutral trajectories.
Quantification of pri-miR-9 Expression in the Mouse Ventricular Zone To quantify the expression of the primary miR-9-2 transcrints in relation to Hes1 we used double FISH.
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