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Detailed phenotype and sample information for each study and association results for each genetic marker were extracted.
The residues falling within 5 Å distance of the marker were extracted and combined to define the binding site.
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Potential markers were extracted from VIP plots constructed following the OPLS analysis, and markers were chosen based on their contribution to the variation and correlation within the dataset (Fig. 2d).
155 markers were extracted from 1154 markers, with at least a 20-cM interval.
Mass chromatograms and spectra were acquired with the software MassLynx (Waters) in centroid format and markers were extracted with the software MarkerLynx (Waters).
Potential markers were extracted from S-plots constructed following analysis with OPLS, and markers were chosen based on their contribution to the variation and correlation within the data set.
Therefore, given a marker position in the 50K Affymatrix genotype data, all lower and upper 2.5K SNPs around each of the 50K SNP markers were extracted from HapMap and named the 5K_HapMap dataset.
Genetic locations of the markers were extracted from the international consensus map [ 19].
The map positions of these markers were extracted from the Gramene database.
A total of 7275 markers were extracted from the entire content, with 1325 being independent variants (pairwise r <0.5).
Reliable stress markers were extracted as well as genes whose expression differed in tolerant and sensitive genotypes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com