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We took the median of the replicate normalized IO values for each gene at each time point in order to get a representative measure of transcript abundance.
The measurement was repeated three times, and fluorescence intensities of the cells expressing EN-actin were in each replicate normalized to the controls to prevent variations caused by antibodies dilutions, etc. Results are presented as a mean of three experiments ± standard deviation (SD) and were plotted using Prism GraphPad.
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Statistical analysis of the data is then performed using the shRNAseq R package, which calculates log-ratios of the counts from each screen replicate, normalizes these values and ranks hairpins by their median, mean or t-statistic.
Each experiment comprised three technical replicates normalized to tubulin or GTF2i.
Data were expressed as mean value of three replicates, normalized against the expression levels of GAPDH or actin.
Analyses represent mean values ± SEM of four technical replicates normalized to the seed count (48 50 seeds) of each experiment.
The bars represent the mean ± SD of 3 biological replicates normalized to the expression in wt in light.
Indeed, the average slope across replicates for spike-in normalization (1.052 +/- 0.042) was very similar to the average slope across replicates normalized by RPKM (0.992 +/- 0.026).
Transcript abundances for each gene were expressed as the weighted mean of read counts from two replicates normalized to the overall library size (also known as 'base mean').
Differences in gene expression between developmental stages were estimated by RT-qPCR using gene-specific primers (Additional file 5: Table S5), with three biological replicates, normalized to three gene references (Rpl5, Rpl23A and rRNA; Additional file 5: Table S5).
The bottom line is that the spike-in normalization gives data that are virtually indistinguishable from RPKM normalized data, and the dosage-compensation phenotype we previously reported in the NCYC110_Chr8 strain panel is clearly recapitulated in the new replicates normalized by spike-in controls.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com