Learn about some of the exciting news and events going on around the McDonnell Genome Institute.
Regulatory Evolution in the Wild
Evolution, genetics, single-cell genomics, biochemistry… this story of parrot pigments has it all. November 11, 2024 One of the significant findings of the past few decades in genomics is that animal species, despite their vast differences in morphology, physiology, and behavior, share more or less the same repertoire of genes. What truly distinguishes humans from […]
When are Foundation Models Not the Answer?
Genomic large language models can be impressive, but we need ‘on-device’ data-efficient deep learning strategies to tackle all human cell types. November 18, 2024 Seeing the light at the end of an LLM tunnel Apple recently rolled out Apple Intelligence, their version of deep learning tools designed to be “AI for the rest of us.” Generative […]
Whole-Genome Sequencing Could Replace Cytogenetics in Assessing AML, Myelodysplastic Syndromes (Links to an external site)
Mar 11, 2021 | staff reporter NEW YORK — Whole-genome sequencing could serve as an alternative to cytogenetic analysis for acute myeloid leukemia or myelodysplastic syndromes, a new study has found.
Finnish Cardiometabolic Study Uncovers Strong Effect of Structural Variants (Links to an external site)
Mar 23, 2021 | staff reporter NEW YORK – Using genetic data for thousands of individuals from the Finnish population, an international team has tracked down more than a dozen loci linked to cardiometabolic traits, including two previously unappreciated structural variant (SV) sites that appear to have particularly strong ties to specific traits.
Mitochondrial Phenotypes Distinguish Pathogenic MFN2 Mutations by Pooled Functional Genomics Screen (Links to an external site)
Alex L Yenkin, John C Bramley, Jason E Waligorski, Colin L Kremitzki, Mariel J Liebeskind, Xinyuan E Xu, Maria A Vakaki, Vinay Chandrasekaran, Robi David Mitra, Jeffrey D Milbrandt, William J Buchser MGI identified subtle mitochondrial phenotypes & physically captured individual cells with single point mutations.