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Book: Computational Biology - Genomes, Networks, and Evolution (Kellis et al.)

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    40877

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    This text covers the algorithmic and machine learning foundations of computational biology combining theory with practice. We cover both foundational topics in computational biology, and current research frontiers. We study fundamental techniques, recent advances in the field, and work directly with current large-scale biological datasets.

    Thumbnail: Computational biology allows for the creation of dynamic molecular models, as in this figure of the cytoplasm. (CC BY; Sean R. McGuffee and Adrian H. Elcock)

    This page titled Book: Computational Biology - Genomes, Networks, and Evolution (Kellis et al.) is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Manolis Kellis et al. (MIT OpenCourseWare) via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.