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Explore tissue-specific transcriptomes for drug target prioritization and disease risk prediction. Learn about TWAS, co-localization, polygenic risk scores, and phenome-wide scans in genetics research.
Discover how to leverage large biobanks for genetic studies of human traits and diseases with Wei Zhou from Broad Institute, MGH, and Harvard Medical School in this informative primer session.
Explore how engineering approaches yield new perspectives on biological systems, enabling innovative measurements and insights into cellular and tissue function.
Explore fundamental concepts of population genetics, including genetic variation, inheritance patterns, and evolutionary forces shaping populations.
Explore spatial and single-cell diversity in humans, examining how our surroundings influence cellular and individual variations through cutting-edge genomic research.
Explore Dr. Mariana Matus' journey of transforming PhD research into a startup, offering insights on entrepreneurship in science and innovation.
Explore long-read whole genome sequencing and analysis techniques, focusing on advanced methods for medical and population genetics research.
Explore deep learning models for genomic analysis and their applications beyond, presented by Olga Troyanskaya in this Broad Institute colloquium on AI in biomedicine.
Explore multimodal protein language models integrating sequences, structures, and textual descriptions to bridge structural and functional understanding of proteins for biomedical research.
Explore key issues and emerging solutions in genomic privacy, focusing on medical and population genetics implications.
Explore Terra/AnVIL for medical and population genetics research. Learn about data analysis platforms, genotyping methods, and complex trait genetics principles from Broad Institute experts.
Explore Cellarium's role in medical and population genetics, covering genetic variation, sequencing methods, and data analysis for complex trait research.
Explore pharmacogenetics fundamentals, including genetic variation's impact on drug response, genotyping methods, and clinical applications in personalized medicine.
Explore Alpha Missense, an AI model predicting missense variant pathogenicity. Learn how it combines structural context and evolutionary conservation to achieve state-of-the-art results in genetic benchmarks.
Explore scalable single-cell models for robust cell-state-dependent eQTL mapping. Learn about statistical challenges, computational solutions, and applications in identifying autoimmune disease risk loci in memory T cells.
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