Philipp E. Bayer

This study constructs the largest wheat pangenome to identify gene variants in landraces that are absent in modern cultivars, highlighting their potential for improving wheat resilience.

EDTA v2 improves transposable element annotation in animal genomes by adding LINE/SINE detection and enhancing scalability and speed.

The paper uses computer vision and machine learning to predict growth traits in snapper, finding that models capture 18-40% of genetic variation but face challenges from population structure.

This study sequenced two wild lupin species to explore their genomic diversity and evolutionary insights, revealing gene family expansions linked to seed size and adaptation.

This study evaluates nine taxonomic classifiers for marine vertebrate eDNA studies, finding MMSeqs2 and Metabuli outperform BLAST in accuracy and reducing false positives.

This study identifies adaptive gene loss in common bean populations during range expansion and domestication, showing gene loss as a key adaptive trait.

This paper constructs and analyzes the first pangenomes for blueberry and cranberry, revealing high genetic diversity and identifying genes associated with disease resistance and fruit quality.

crosshap visualizes local haplotype structures and associations with traits using density-based clustering and visualization tools.

This paper introduces a DNABERT-based NLP model to identify lncRNAs from genomic sequences across plant species, achieving accuracies between 57.9% and 83.4%.

RefKA assembles large complex genomes using long-read data with reduced computing requirements by binning a reference genome and parallelizing assembly steps.

This study validates large-scale structural variations detected by optical mapping in subterranean clover using Illumina short reads, showing BOM detects total SV sizes but lacks precision in location and quantity.

This study identifies genetic variants associated with normal craniofacial morphology using a candidate gene approach and 3D facial scans, finding 34 SNPs linked to 8 craniofacial traits, including novel and previously reported genes.