Because the BioGoMx dataset is richer than the data served by OBIS, it will also be accessible via GulfBase (http://gulfbase.org), a portal developed by HRI for data on researchers, institutions, expeditions, and environmental conditions.
In the GO integrated analysis (see Additional files) it is clear that the annotation for the protein dataset is richer than the other two datasets, hence the overlap takes place at a somewhat high level in the GO hierarchy.
This is not surprising because the HCD-Orbitrap-Testing dataset was rich in tryptic peptides that do not produce large numbers of b + 2 fragments; a dataset that enriches peptides with N-terminal basic residues might have matched more of these ions.
Our analysis and datasets are rich resources to link genotypes with cellular phenotypes and to identify therapeutic options for selected cancer sub-populations.
The dataset is so rich that researchers continue to study it to this day.
Our dataset is a rich resource for those working in telomere biology in budding yeast and other eukaryotic organisms.
The dataset is extremely rich and complex, including also methylation and copy number variation data (but no proteins).
This shows that our dataset is a rich source of microsatellites which could potentially be useful for studying population genetic structure, demography and the genetic basis of local adaptation in tuatara.
Dalio is rich — preposterously rich.
