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This dataset is supported by FL-cDNAs, ESTs, and proteins.
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This in situ dataset is supported by atmospherically and radiometrically corrected Mode 3 CHRIS reflectance spectra for three view directions, and top of canopy VNIR nadir spectra from airborne measurements.
The apparent connection between cancer and the immune system in our dataset is supported by the similar down-regulated expression patterns seen for hsa-mir-548 target genes among the cancer and immune tissue samples (Figure 7).
The inclusion of singleton sequences in our dataset was supported by bioinformatic analysis and experimental validation.
Thus each of the intervals in the core dataset was supported by high stringency evidence in at least one dataset, and was also independently validated using an alternative experimental technique.
However, an emerging literature exploring functional patterns using global fisheries datasets is supporting broad-scale investigation of functional trends through time and across space9.
Some non-canonical sites in the CLASH and chimera datasets are supported by multiple reads, and all the dCLIP-identified non-canonical sites of the miR-155 study (Loeb et al., 2012) are supported by multiple reads.
Thus, the observed associations of the canine exon 4 and exon 8 SNPs in our two independent canine datasets are supported by similar effects of closely linked SNPs in the human gene.
Pairwise ΦST estimates indicated significant population structuring between many population pairs in the whole genome nucleotide analysis (Additional file 6), with population SE-BLEKINGE being the most distinct in this dataset (this is supported by the MDS plot, Figure 3).
The maximum likelihood phylogeny inferred from this dataset was strongly supported at almost all nodes, indicating that this larger data set enables much greater resolution than that for each protein alone (Fig. 4).
Thus, the assumption that SDPs are near ligands may boost the performance of ConsWin on our enzyme dataset; however, this assumption is supported in the literature, and is commonly made in small-scale SDP studies.
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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