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This paper evaluates a Voronoi-based cell segmentation method for spatial transcriptomics, showing improved cell type separation and transcript preservation compared to traditional clustering methods.

hibayes provides an R package for fitting Bayesian regression models in genomic prediction and GWAS, supporting individual-level, summary-level, and single-step approaches.

This study shows that Drosophila melanogaster can pass on increased survivability from parasitic stress exposure through transgenerational epigenetic inheritance.

The paper compares gene expression in captive and wild shrew brains, finding hundreds of differentially expressed genes linked to neurodegenerative pathways and ribosomal proteins.

The paper analyzes mitochondrial genomes of Cape buffalo from Addo Elephant National Park, finding a highly divergent mitogenome likely from introgressive hybridization with an extinct species.

This study uses molecular and chromosomal analyses to reveal genetic diversity in the Sordida subcomplex, suggesting six putative species instead of three.

NeuroTri2-VISDOT provides a web-based tool to explore second trimester human single-cell RNA sequencing data for Mendelian neurodevelopmental disorders, aiding in model system selection.

This study identifies G6PC2's role in regulating glucagon secretion in α-cells, showing it controls glucose setpoint and suggests G6PC2 inhibitors could improve glycemic control.

BayesRVAT improves rare variant association testing by integrating multiple annotations, increasing power and detecting novel gene-disease associations in real data.

This study repairs a harmful mutation in a tomato gene using base editing, resulting in plants with compact growth and earlier fruit yield.

This paper identifies mega-environments in soybean breeding using historical field trial data and integrates genetic and non-genetic factors to analyze genotype by environment interactions.

This paper introduces scIDST, a weakly-supervised deep learning method to infer disease progressive stages in single-cell transcriptomics, revealing disease-relevant gene expression patterns not detectable by standard comparisons.

PRSformer predicts disease risk from large-scale genotypes using deep learning, outperforming linear models and summary-statistic methods in multi-ancestry cohorts.

The paper identifies OA risk genes by integrating eQTLs, chromatin accessibility, and 3D chromatin structure in human chondrocytes, revealing 13 putative risk genes, 10 of which are novel.

The paper analyzes genotype-environment interactions in food barley across five environments in Ethiopia, identifying stable genotypes and high-yielding environments.

This study performs genome-wide association analysis on honey bee colonies to identify genetic markers linked to Varroa destructor resistance, revealing a polygenic architecture and supporting genomic selection strategies.

The paper investigates the effects of four PNPT1 mutations on PNPase function in bacterial and human models, finding that mutation severity does not correlate with catalytic activity.

This study shows that DNA replication initiation sites drive mutagenesis and genomic rearrangements in cancers by affecting repair processes and mutational patterns.

This study identifies age-related DNA methylation changes in neurons and oligodendrocytes, showing that epigenetic drift is a stronger predictor of methylation variation than sex or disease.

The paper identifies a transcriptional network regulating mitochondrial biogenesis in Drosophila by combining RNAi screening and ChIP-seq analysis, revealing key factors like CG1603 and YL-1.