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Additionally, these approaches analyzed the relation between chromatin and splicing, looking at one single condition at the time, rather than comparing two conditions, and exons were classified as constitutive or alternative based on RNA data from one single condition, rather than distinguishing those that are regulated from the non-regulated ones between two conditions.
The two dendrograms based on RNA data have high similarity (cophenetic correlation = 0.84), but different sub-clustering patterns compared with the protein data.
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This was achieved by integrating information on genetic variants from GWAS (based on high-throughput genotype data) with information from co-expression networks (based on RNA-Seq data) and differential gene expression (based on RNA-Seq data), using an eQTL mapping approach [ 29, 30].
Most merges were based on RNA-Seq data, usually RNA-Seq junction data.
To understand phenotypic evolution, gene expression changes in different species have been studied based on microarray data [ 19– 22] and more recently based on RNA-seq data [ 23].
We sought to quantify the impact of variation in RNA quality on estimates of gene expression levels based on RNA-seq data.
The Pearson correlation heatmap showed significantly low correlations among MSCs from different tissues compared to those based on RNA-seq data, indicating that the differences among MSCs were more pronounced with ATAC-seq data (Fig. 4b).
An example of a gene model split based on RNA-Seq data is shown in Figure 2. The original 3′ coding exon of Klp54D (based on prediction data) is now annotated as a separate gene, CG43324.
In order to identify co-regulated genes in A. comosus, both Spearman and Pearson methods23 were used to calculate pairwise expression correlation co-efficiency based on RNA-seq data among 15 different tissues, which included 13 different leaves, one root, and one flower.
Despite the lack of recommendation, TopHat2 was used in at least 30% of published manuscripts based on RNA-Seq data, pushing the developers of TopHat2 to officially announce the retirement of the tool.
To analyze whether a correlation between lamin B1 binding and gene expression exists during EMT, we stratified the full set of mouse genes on each time point into four groups based on RNA-seq data (of silent, low, medium, and high expression).
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