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Guided learning journeys that build knowledge step by step.
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7817 Paths · page 579 / 782
This advanced graduate-level path explores how epigenetic mechanisms contribute to evolutionary processes. It begins with foundational molecular epigenetics, then examines transgenerational inheritance, stress responses, and phenotypic plasticity, culminating in an integrated view of epigenetics in evolutionary theory.
This learning path guides graduate students in microbiology and evolution through the process of designing, conducting, and analyzing microbial evolution experiments. It covers essential microbial techniques, experimental design, fitness assays, genomic characterization, and data analysis, culminating in the ability to independently design and execute a long-term evolution experiment.
This advanced graduate-level path equips quantitative genetics students with the knowledge to apply genomic prediction methods to evolutionary and breeding contexts. It covers foundational quantitative genetics, the statistical and genomic basis of prediction, and practical implementation of GBLUP and Bayesian regression methods, with a focus on accuracy assessment and applications in evolutionary genomics.
This graduate-level learning path guides behavioral ecology students through the conceptual and methodological foundations of studying behavioral evolution. It progresses from basic ecological principles and evolutionary theory to advanced topics like game theory, foraging, mating systems, and communication, culminating in the design and interpretation of field experiments.
This learning path equips graduate students in quantitative biology with the skills to apply advanced statistical models to evolutionary data. It covers Bayesian inference, MCMC, likelihood methods, phylogenetic comparative methods, and population genetics models, building from basic statistics through to advanced applications.
This path equips paleontology students with practical skills for studying fossils, from field collection to morphometric analysis. It covers essential geological context, fossil preparation, identification, taphonomy, and quantitative methods for shape analysis.
This graduate-level path equips evo-devo researchers with the conceptual and practical skills to design and execute comparative experiments. It covers core developmental biology, evo-devo frameworks, model organism husbandry, gene expression analysis via in situ hybridization, and CRISPR-based functional perturbation, culminating in the design and validation of rigorous cross-species studies.
This advanced graduate-level path equips students with the skills to analyze whole-genome resequencing data to infer population genetic parameters. It covers bioinformatics foundations, population genetics theory, and practical applications including demographic modeling, selection scans, and haplotype analysis.
This advanced graduate-level path equips evolutionary biology students with the practical skills and theoretical understanding needed to conduct molecular phylogenetic analyses. Starting from sequence alignment and model selection, it progresses through maximum likelihood and Bayesian inference, and culminates in robust hypothesis testing and tree interpretation.
This learning path prepares ecology and evolution students to plan and conduct field studies that yield data suitable for evolutionary analyses. It covers foundational ecological concepts, study design, sampling strategies, behavioral observation, morphological measurements, and ecological data collection, emphasizing ethical and practical considerations.