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We color interaction edges between genes using different colors for each module.
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More importantly for our purposes, quantitative expression data are available for all relevant maternal co-ordinate and gap genes [ 10, 11], and those data have been used to infer regulatory interactions between gap genes using different global and local optimization strategies [ 7, 8, 12, 13].
Next, we calculated expression divergence between human-rat orthologous gene pairs and between human-rat random gene pairs using different distances.
We describe levels of structural divergence between duplicated genes using four different measures.
Functional similarity between candidate and training set genes is established using different types of omic information, such as annotation databases, gene sequences and public gene expression datasets.
We compared DNA sequence divergence between genes potentially involved in human-chimpanzee dietary differences and other genes, using two different approaches.
The interactions between ADE genes that we have identified using different statistical methods make a mechanistic sense because these genes are collectively involved in the maintaining and regulation of redox homeostasis.
Number of differentially expressed genes between macrophage and monocyte samples using different criteria for selecting lists.
Supervised analyses were performed using different published gene lists to look for similarities between the different cell types from which the respective gene sets were derived.
We analyzed the relationships between all gene function variations (genes at SV regions or those containing SNPs or InDels) using different gene/protein databases (COG/GO/KEGG).
MH: What's new is they are using different methods to cut and change specific gene sequences.
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