Marcelo Mollinari

Bio

Dr. Mollinari’s primary research interests lie in genetic statistics and its applications in understanding complex biological processes of species with more than two paired sets of chromosomes, known as polyploid species. His work centers around developing and applying statistical and computational strategies to decode the complexity of inheritance patterns in these species, focusing on plant breeding.

Publications

• A public mid-density genotyping platform for alfalfa (Medicago sativa L.) , Genetic Resources (2023)
• Advances in genomic characterization of Urochloa humidicola: exploring polyploid inheritance and apomixis , Theoretical and Applied Genetics (2023)
• Advances in genomic characterization ofUrochloa humidicola: exploring polyploid inheritance and apomixis , (2023)
• Advances in the Development of Chromosome-Scale Haplotype-Resolved Genome Assemblies of Hexaploid Sweetpotatoes , International Plant & Animal Genome 30 Conference (2023)
• Developing best practices for genotyping-by-sequencing analysis in the construction of linkage maps , GigaScience (2023)
• Genetic Mapping in Interconnected Hexaploid Sweetpotato Populations , International Plant & Animal Genome 30 Conference (2023)
• Selecting the Best Bioinformatic Pipeline for Evaluating Diploid and Auto-Tetraploid Garden Rose Genotype-by-Sequencing Data , International Plant & Animal Genome 30 Conference (2023)
• Developing best practices for genotyping-by-sequencing analysis using linkage maps as benchmarks , bioRxiv (2022)
• Polyploid Goes to Genomics , 21st Century Pathology (2022)
• VIEWpoly: a visualization tool to integrate and explore results of polyploid genetic analysis , Journal of Open Source Software (2022)