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Stop switching between IDEs and chat interfaces. Learn to delegate bioinformatics coding tasks directly from your terminal with Claude Code and focus on science, not syntax.
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From RNA-seq analysis to deep learning models Matrix multiplication is the heart of all bioinformatics computations.
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Explore the use of autoencoders to compress gene expression data and improve data analysis and visualization.
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A quick tour of biocpy, the first Python framework to deliver Bioconductor-style data structures and workflows for genomic data analysis.
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Learn how to implement a tidy and expressive R-like data analysis pipeline in Python, complete with dplyr-style transformations and ggplot-style plots.
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Learn how to build bioinformatics pipelines with Nextflow, a powerful workflow management system for reproducible and scalable data analysis. PART 4 - Polish your pipeline
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Learn how to build bioinformatics pipelines with Nextflow, a powerful workflow management system for reproducible and scalable data analysis. PART 3 - Modularization & Configurable settings
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Learn how to build bioinformatics pipelines with Nextflow, a powerful workflow management system for reproducible and scalable data analysis. PART 2 - Multiple Samples
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Compare Alevin-fry’s pseudoalignment and Cell Ranger’s full alignment to find the right single-cell RNA-seq tool for your pipeline.
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