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We evaluated the above four variants of our approach for each of four species using the reference datasets and subsets.
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Using the reference dataset, we found that a NC above the 50th percentile is a sensitive predictor of overweight/obesity (BMI > 85th percentile).
We used the reference dataset from Elhaik et al. [ 21] as a base and added additional entries using supervised ADMIXTURE [ 25] analysis.
Using the reference structural dataset as a source for amino acid frequencies and contacts, we estimated a log-odds contact matrix by measuring the ratio between the frequency of each possible contact and its expectation given the background frequency of each single amino acid.
For the combined PCA analysis, we used a subset of 390,144 SNPs that were genotyped on both the Illumina 1 M platform and the other Illumina platforms used in the reference datasets.
A multiple sequence alignment for each KAP-β subfamily was generated in Muscle using only selected sequences from the species used for the reference dataset.
While the T. thermophila genome is very AT rich with a bias against GC rich codons, a subset of 'preferred' codons that are independent of the genes' AT content and differed from that of the average gene was found to be used with high frequency in a group of 232 highly expressed genes [ 11], and were used as the reference dataset in the CAI calculation.
The objectives of this study were to: (1) estimate the consistency of linkage disequilibrium between the Chinese and the Nordic Holstein populations and (2) assess the gains in reliability of genomic predictions in Chinese Holstein from using a joint Chinese and Nordic reference dataset, compared with using the Chinese reference dataset alone.
One other public dataset, ChEMBL [36] was used as the reference dataset for biologically interesting molecules.
The whole annotated microarray was used as the reference dataset (ie, background) for pathway analysis.
The NHSAR was used as the reference dataset and records in the test datasets would be expected to have a match on the NHSAR.
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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