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These frequencies were plotted logarithmically on a genomic scale to distinguish regions of high TE content from low copy regions.
However, the use of data at the genomic scale to reconstruct the phylogeny of organisms also attracted a lot of interest recently (see [ 4] for review).
The Genome Comparison Project (GCP) (http://www.dbbm.fiocruz.br/GenomeComparison) aims to compare protein information on a genomic scale to improve the quality and interpretation of biological data and our understanding of biological systems and their interactions.
Given the need for predictive tools that can forecast protein prionogenicity at a genomic scale to guide experimentalists, and also to provide a global view of the relevance of prions for the regulation of cellular processes, we decided to build PrionScan, as an open source of up-to-date prion predictions for all the proteins annotated in public databases.
The development of high-throughput phenotyping pipelines for these and other large-scale projects allows investigators to search and integrate large amounts of directly comparable phenotype data from many mutants, on a genomic scale, to help develop and test new hypotheses about the origins of disease and the normal functions of genes in the organism.
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An attractive approach for studying transcriptional regulation at the genomic scale is to use transcription factor activities (TFAs) to represent gene expression dynamics.
In order to put these results on a genomic scale, and to correct for regions with distinct gene density, chromosomes were split in non-overlapping windows and the observed number of disordered segments of length (L) ≥30 amino acids in each window divided by the total number of open reading frames contained therein.
Integration of their sequencing profiles with DNA conformational descriptors derived from atomistic molecular dynamic simulations enabled us to extract the physical properties of DNA on a genomic scale and to correlate them with chromatin structure and gene regulation.
We thus opted for a genomic scale approach to infer the phylogenetic position of the telonemids and centrohelids.
For example, Murakami et al. used position weight matrices (PWMs) to predict TFBSs on a genomic scale in order to quantify the co-occurrence of regulatory motifs in human promoters [ 17].
With the completion of genome projects of human and other model species, functional studies on a genomic scale are coming to a frontier.
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