Sentence examples for datasets revealed from inspiring English sources

Kale transcriptome datasets revealed 37,149 annotated genes and several secondary metabolite biosynthetic genes.

Custom-made functional Drosophila datasets revealed further characteristic phenotypes among ID-AGs and specific clinical classes.

Experiments performed on renowned datasets revealed better performances in terms of feature extraction in robust conditions.

A multivariate analysis of the root and leaf metabolite datasets revealed chemical signatures that were specific to sites and A. lipoferum CRT1 inoculation (Fig. 4).

Gene set enrichment analyses (GSEAs 44 of all datasets revealed the expected striking depletion of sgRNAs for genes with housekeeping functions (Fig. 1d, e, and Supplementary Data 7).

Combining RNA- and ChIP-seq datasets revealed 778 differentially expressed, SCL-bound loci (hereafter referred to as SCL direct DEGs, Fig. 4e, Supplementary Data 1).

Moreover, the correlation analysis of the combined datasets revealed some potential relationships between the colonic metabolites and certain microbial species.

A closer look at the high resolution datasets revealed new insights in the intra-annual variability and relationship between the water balance components.

Long-term, high-resolution groundwater salinity datasets revealed dynamics over seasonal and yearly time periods as well as over tidal cycles and storm events.

Analysis of the ChIP-seq datasets revealed that more than half (57.33%) of Kbz signals were associated with gene promoters (defined as ±3 kb around the transcription start sites [TSSs]; Fig. 6a).

The datasets revealed spatially divergent temporal water characteristics, which may be relevant to the management, design of monitoring and habitat models.