José M. Lázaro-Guevara

This study shows evolutionary rescue in wild populations during extreme drought by linking genetic variation to population recovery.

The paper identifies a novel RIMS1 missense mutation that interacts with RP1 mutations to enhance retinitis pigmentosa severity in a family cohort.

The paper develops a Pacific ancestry pangenome reference to improve genetic analysis for an underserved population, showing it reduces variant call errors and captures novel sequence.

This study analyzes the genomic and phenotypic impacts of wild introgressions in sunflower, finding that while some traits improve, most introgressions negatively affect yield and quality.

This study uses targeted next-generation sequencing to identify rare pathogenic variants in kidney disease-related genes in patients with diabetic kidney disease and non-diabetic kidney disease.

The paper introduces a DNA sequence compression algorithm using redundancy and approximate selection, achieving better compression than LZW and Huffman but with slower decompression.

This paper proposes a simple computer vision algorithm to assist pathologists in screening histological images for malignancy, focusing on high-risk areas to improve efficiency and standardization.