Laura M. Zingaretti

This paper demonstrates generating realistic fruit shapes from DNA sequences using a decoder deep learning model in Cucurbitaceae and tomato.

This paper evaluates the utility of combining microbiome and genome data for complex trait prediction using simulation and variance-component analysis, finding that microbiome data improve prediction accuracy but causal effects are hard to identify.

The paper uses EISA to distinguish post-transcriptional regulation by miRNAs from transcriptional changes in pig tissues, identifying miRNA-target interactions in muscle and adipose tissues.

This study characterizes gut eukaryotic communities in pigs and finds limited host genetic control over their diversity and composition, with some genetic variants associated with fungal diversity and Blastocystis abundance.

The paper characterizes the porcine sperm microbiome using RNA-seq, identifying bacterial phyla, potential pathogens, and antibiotic resistance genes associated with semen quality traits.

SeqBreed evaluates genomic prediction in complex scenarios by simulating genetic data and GP methods, demonstrating its use with Drosophila and potato datasets.