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Guided learning journeys that build knowledge step by step.
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This learning path guides microbiology and genomics students through the principles and practical methods of metagenomics, from foundational sequencing concepts to advanced computational analyses. Learners will explore 16S rRNA amplicon sequencing and shotgun metagenomics, covering taxonomic and functional profiling, binning, and community analysis. The path emphasizes hands-on skills and conceptual understanding necessary for studying environmental and microbial communities.
This learning path guides evolutionary biology students through the core concepts and methods of comparative genomics, from molecular evolution basics to advanced analyses like whole-genome alignment and detection of selection. It emphasizes the conceptual foundations and practical techniques needed to compare genomes and interpret evolutionary signals.
This learning path guides students from basic epigenetics to advanced genome-wide analysis techniques, covering ChIP-seq, ATAC-seq, and bisulfite sequencing. It emphasizes understanding the biological basis, experimental design, data analysis, and interpretation of epigenetic data. The path is designed for university-level learners with a foundational background in genomics and molecular biology.
This learning path introduces the principles of transcriptome analysis, covering both microarray and RNA-seq technologies. It guides learners through the molecular biology of gene expression, experimental design, data analysis, and differential expression testing, culminating in functional interpretation of results.
This advanced learning path guides genomics and bioinformatics students through the systematic process of identifying functional elements in a genome. It covers foundational genetics and bioinformatics, then progresses to gene prediction, evidence-based annotation, functional annotation, and non-coding RNA identification. The path emphasizes the integration of ab initio and evidence-based methods for accurate genome annotation.
A comprehensive learning path covering the computational methods for assembling genomes from sequencing reads, including de novo and reference-based approaches, graph algorithms, scaffolding, and assembly evaluation. Designed for bioinformatics and genomics students with basic programming skills.
A systematic learning path for advanced genomics students to understand long-read and single-molecule sequencing, covering underlying principles, platforms, data characteristics, and applications. It builds from basic NGS concepts and progresses through PacBio SMRT and Oxford Nanopore technologies, addressing read length, base modifications, and assembly challenges.
This learning path guides genomics lab students through the essential concepts and practical workflows of next-generation sequencing (NGS). Starting from fundamental DNA structure and sequencing principles, it progresses through library preparation, sequencing chemistry, flow cell mechanics, imaging, and data output, culminating in an understanding of major NGS platforms.
This learning path guides genomics and molecular biology students from foundational concepts in DNA structure and polymerase chain reaction through the principles, workflows, and trade-offs of major sequencing platforms: Sanger, Illumina, Ion Torrent, PacBio, and Oxford Nanopore. It emphasizes the conceptual evolution from short-read to long-read technologies and prepares learners to compare and select appropriate sequencing methods.
This learning path introduces key model organisms used in genomics, covering their genomic features, genome sizes, and sequencing status. It starts with basic genetics and progresses through each organism, highlighting their importance in biological research.