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Our deeper dataset allowed IPA to identify enrichment for additional categories, including genes involved in infectious disease, the cell cycle, and DNA replication, recombination, and repair (Additional file 1: Table S2).
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We conducted a detailed characterization of piRNAs aligning at or near the 3' UTRs of protein-coding genes in a deep dataset of small RNAs from adult mouse testis.
Using a very deep dataset of piRNAs from mature mouse testis, we show that clusters of piRNAs mark extended 3'UTRs that have not been previously annotated.
Our deep dataset allowed us to identify 2710 clusters of small RNAs that overlapped annotated 3' UTRs in a sense direction (see Methods; a list of testis piRNA clusters that overlap with 3' UTRs is in Additional file 2: Table S6).
A deep dataset of small RNAs from adult mouse testis identifies many new 3' UTR piRNA clusters, some of which are also present in somatic cells and are derived from rare and previously unannotated extended 3' UTRs.
We analyzed RNAs uniquely aligning to 3' UTRs in a deep dataset of small RNAs from the adult mouse testis, identifying approximately 1600 new genes with 3' UTRs that may be piRNA precursors, as well as nearly 1000 clusters with piRNAs that align to previously unannotated extended 3' UTRs.
Moreover, we assessed the mitochondrial phylogenetic signal limits in the deeper Eumetabola dataset, and we studied the contribution of individual genes.
Reduction of the collection and annotation costs on deep learning dataset by using simple image generation and synthesis.
Improved seismic reflection images from the PROBE deep-imaging dataset, combined with gravity modelling, have shed new light on the structural architecture of the margin and the composition of the POC.
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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