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Here we propose a meta data analysis approach to the analysis of GM plants, by measuring the transcriptome distance to untransformed wild-types.
We validated the relevance of our gene clustering by measuring the transcriptome response to epigenome-modulating drugs, and we identified EWS-FLI1-specific enhancer and super-enhancer signatures that are dependent on EWS-FLI1 expression.
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By measuring the total mRNAs of cells (the transcriptome) and the polysomally-loaded mRNAs (the translatome) after a growth stimulus, we obtained a picture of overall mismatching between the two changes for the majority of genes, to which we refer as "uncoupling" in the mRNA behavior.
Quantitative real-time PCR (qPCR) was used to validate transcriptome expression levels for each library by measuring the transcript and gene expression levels separately for each crab used in the exposure experiment.
Transcriptome analysis, enabled by technology such as oligonucleotide microarray, is a simultaneous interrogation of gene expression by measuring the transcriptional activity on a global scale (Lockhart et al., 1996).
DNA microarrays and particularly Affymetrix GeneChips are widely used to measure the transcriptome of samples.
Moreover, we examine the macro-environmental context of genome-wide gene expression by measuring transcriptome variation in contrasting seasons and field types.
A snapshot of cellular activity in response to external stimuli (e.g., ionizing radiation) can be obtained by measuring gene expression at the transcriptome level.
Moreover, we measured the global transcriptome response to fasting in white adipose tissue, liver, and skeletal muscle utilizing microarray technology followed by a host of bioinformatic analyses.
Start by measuring up the window.
RNA decay was measured across the transcriptome in human cells by microarray analysis following an actinomycin D chase.
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