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For BI, we inferred a consensus tree from the posterior tree topologies of replicates.
We generated a concatenated alignment of these shared segments according to the gene order found in the CFN42 genome, and then inferred a consensus sequence and computed the number of nucleotide differences across windows of 250 bp.
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It analyzes interactions between molecular substances, drawing on multiple sources of information to infer a consensus view of molecular networks.
We used the cons utility from the EMBOSS suite to infer a consensus sequence.
We propose applying the signature method to infer a consensus tree of multiple genes.
Methods: We propose a novel approach to infer a consensus 3D structure of a genome from Hi-C data.
Using these groups we inferred gene trees (using PAML tool) which were then clustered using the Phylip tool to infer a consensus tree.
The resulting trees have been which were then clustered using the consensus tree program, version 3.69 of the Phylip package [ 84] to infer a consensus tree.
> -wrap-foot> In this work, we present a novel method for inferring a consensus genomic 3D structure from Hi-C data.
In order to infer a consensus motif logo for direct translational targets, we first mapped the selected 5-mers on the mRNA sequences extending 10 nt per flank.
The SDs were adopted as a measure of consensus as a tight spread of scores indicated a high consensus (i.e. an SD between 0 and 1), a medium spread of scores inferred a moderate consensus (i.e. an SD greater than 1.0 and less than 2.0), and a wide spread of scores implied a weak or low consensus (i.e. an SD greater than 2.0) [ 26].
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CEO of Professional Science Editing for Scientists @ prosciediting.com