AI for Genomics & Proteomics
Apply AI and machine learning techniques to analyze large-scale genomic and proteomic data for disease research, variant calling, and understanding biological pathways.
145 courses
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Bioinformatics Basics: Genome Assembly and the Newspaper Problem
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DNA Sequence Analysis: Coding a Pattern Count Algorithm
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Bioinformatics Sequence Comparison: Fitting Alignment Foundations
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Bioinformatics and DNA Replication: Solving Computational Genomic Challenges
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DNA Sequence Analysis with Python Regex Lookarounds
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Genetic Algorithms in Elixir: Designing and Choosing Genotypes
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Tracking Genealogy in Elixir Genetic Algorithms
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Bioinformatics: Finding Frequent DNA Patterns with Mismatches
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Genome Assembly: Solving Real-World Sequencing Challenges
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Graph Algorithms for Genome Assembly: Non-Branching Paths
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Bioinformatics Algorithms: Finding Peptide Encodings in Genomes
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Tracking Genealogy in Elixir Genetic Algorithms
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DNA Sequence Analysis with k-mer Algorithms for Beginners
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Backtracking Algorithms for Sequence Alignment and LCS
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Genome Assembly Algorithms: De Bruijn and Overlap Graphs
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Longest Common Subsequence Algorithms for Biological Sequences
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Genome Assembly in Bioinformatics: From Reads to Read Pairs
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Maintaining Valid Solutions in Genetic Algorithms with Chromosome Repairment
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Bioinformatics Algorithms: Building De Bruijn Graphs from K-Mers
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Genome Assembly: Transforming Read Pairs into Virtual Long Reads
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Introduction to Overlap Sequence Alignment in Bioinformatics
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Bacterial Genome Analysis: Bioinformatics of Replication Origins
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Concurrent Genetic Algorithms in Elixir: Chromosomes as Processes
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Finding Frequent DNA Sequences and K-Mers Using Sorting Algorithms
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Showing 97–120 of 145 courses