Courses from 1000+ universities
$7.2 billion in combined revenue since 2020. $8 billion in lost market value. This merger marks the end of an era in online education.
600 Free Google Certifications
Computer Science
Artificial Intelligence
OpenAI
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Introduction to Graphic Illustration
The Science of Gastronomy
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore graph and algebraic signal processing fundamentals for computational biology, covering key concepts, challenges, and applications in genomic data analysis.
Explore allele-specific copy number variant genotyping using pangenomes. Learn advanced techniques for analyzing complex genomic variations in human populations.
Explore computational methods for modeling and analyzing epigenomic data, focusing on chromatin state discovery, genome annotation, and cross-species conservation in functional genomics.
Explore statistical reference-free genomics to solve bioinformatics challenges. Learn about Splash algorithm, RNA splicing, and novel approaches for analyzing sequencing data in cancer and human disease research.
Explore single-cell lineage tracing via genome editing, covering inference methods, design parameters, and data analysis for understanding cellular phylodynamics and evolution.
Explore high-throughput functional characterization techniques for dissecting and annotating human regulatory regions, leveraging advanced genomic mapping and integrative epigenomic approaches.
Explore population genetics using large genealogies, focusing on data analysis, relationship inference, and historical insights from Quebec's French Canadian population.
Explore multiple testing methods for biomedical problems, covering low and high-dimensional scenarios. Learn optimization techniques, hypothesis testing, and power analysis through practical examples.
Explore single-cell data integration using optimal transport. Learn unsupervised algorithms for multi-omic studies, alignment techniques, and performance quantification in computational genomics.
Explore sequence bioinformatics innovations, from minimizers to pan-genomics, and delve into the evolution of assembly and alignment techniques in genomic research.
Explore detection methods for hard and soft selective sweeps in population genomics, focusing on Drosophila studies and statistical approaches.
Explore ChIP-seq normalization methods, their assumptions, and impact on differential binding analysis. Learn to select appropriate techniques for accurate genomic data interpretation.
Explore graph neural networks for modeling spatial omics and cellular niches, focusing on tumor microenvironments and spatial protein profiles in tissue specimens.
Explore biobanks from a pathologist's perspective, focusing on genetic disorders, variant classification, and the interplay between monogenic and polygenic factors in disease expression.
Explore the impact of repetitive DNA sequences on complex traits through genome-wide association studies, focusing on short tandem repeats and their role in human phenotypes and gene expression.
Get personalized course recommendations, track subjects and courses with reminders, and more.