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Initial localization of disease-related loci has traditionally been performed using family-based linkage methods to scan the genome.
First of all, the study applied reverse engineering methods to scan a mannequin model commonly used in the fashion design profession by extracting grid points that represent the shape features from the scanned data after the segmentation of the mannequin model through feature surfaces.
It employs different database search methods to scan a number of protein/domain family databases.
In addition some researchers have developed consensus based approaches, that combine several signature recognition methods to scan a given query protein sequence against observed protein signatures.
As mutant p53 often influences response to therapy, effective and rapid methods to scan for mutations in TP53 are likely to be of clinical value.
Most methods to scan the genome in different tissues for differentially methylated sites have focused on the methylation of CpGs in CpG islands, which are concentrations of CpGs often associated with gene promoters.
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To develop a novel method to scan AZF loci looking for microdeletions.
We report here the validation of this method to scan 98% of the coding sequence of the cystic fibrosis transmembrane conductance regulator (CFTR) gene.
We applied a CMS method to scan for genome-wide signals of recent positive selection.
Later, Grossman et al. (2013) modified this original method to scan for potential selection regions across the genome.
This study validates the use of HRM as a method to scan for somatic mutations in TP53.
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CEO of Professional Science Editing for Scientists @ prosciediting.com