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RNA-seq Fundamentals → Applications and Case Studies
This advanced learning path guides graduate students in genomics and cell biology through the principles and practices of single-cell RNA-sequencing (scRNA-seq). Starting from fundamental RNA-seq concepts, it covers experimental methods including cell isolation, microfluidics, and library preparation, followed by computational analysis such as data normalization, clustering, and trajectory inference. The path emphasizes the integration of experimental design and bioinformatics to answer biological questions.
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11 steps · 3 stages. Click any step to inspect it and see it on the Path Map.
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