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The required historical narratives give an account of the ancestral history of living organisms based on a detailed description of the particular circumstances in which ancestors of today's organisms evolved.
Several databases have been constructed for gene coexpression in model organisms based on a large amount of publicly available gene expression data measured by GeneChip platforms.
To test the generality of this prediction, we estimated families of homologous genes for eleven bacterial and eukaryotic organisms based on a BLAST [ 29] sequence similarity search (E-value < 1.0e-10 1.0e-10ompandd survival upon knocomparedO) or knockdown (KD) of genesurvivalhese gene families to suponval upon knockout singletons (Table 1).
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Thus estimating genome complexity of extinct organisms based on an uncertain estimate of functional genome size of present-day organisms could be doubly flawed.
Specifically, we presented a new version of our evolutionary approach to refine the accuracy of transcriptional regulatory networks for phylogenetically related organisms, based on an extended network evolution model, which takes into account gene duplication and loss.
After defining restrictions in the intake capacity of the organism, based on a selection of experimental data, we used FBA to predict biomass production, and thus the capacity of the organism to grow under those restrictions.
These examples indicate the difficulty of inferring a bacteria's exclusivity to an organism based on a lack of its observation in community studies, where only a fraction, albeit an increasing one, of bacterial genera are accessible with current techniques.
We investigated the potential of unassembled RNA seq data for the prediction of the functional repertoire of an organism based on a statistical mixture model for discriminating between strong and weak sequence homologies.
Each category reflects a different level of severity of the organism, based on an estimation of the percentage of people who die as a result of infection — a case fatality ratio.
Currently no living organisms based on such an unnatural nucleic acid exist and there is little evidence that anything like it will occur anytime soon.
Notably, analysis of the evolutionary history of living organisms based on only one molecular marker can uncover bifurcating phylogenetic trees, revealing branched evolution.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com