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Protein Design After Structure Prediction Using Generative Models
Generative models are transforming protein design, turning diffusion-based backbones and language priors into programmable, fast design pipelines.
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Deploying AlphaFold on AWS cloud infrastructure
Moving AlphaFold to AWS changes the experience: provision the right GPU, keep terabytes of databases warm, and scale from a single…
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MLflow for Bioscience: Reproducible machine learning
MLflow brings reproducible machine learning to bioscience, with experiment tracking, artifacts, and a model registry you can use from your laptop.
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LOINC Data Standard: A common language for lab results
LOINC Data Standard gives every observation a precise, universal code, unifying results across EHRs, LIMS, and analytics for interoperable data.
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AlphaGenome: 1 Mb context for regulatory predictions
AlphaGenome reads up to 1 Mb of DNA to predict regulatory signals, enabling variant interpretation and enhancer–promoter insights.
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Shiny vs Streamlit for Omics Visualization
Discover how Streamlit and Shiny for Python turn omics visualization from static plots into interactive apps, boosting discovery and collaboration.
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This week’s top spatial transcriptomics papers 🧬 Week 13
Spatial transcriptomics atlas updates across skin, brain, cancer, and regenerative medicine—maps immune niches, cell states, and deconvolution advances.
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TileDB Arrays for large-scale omics
TileDB Arrays unlock scalable, multimodal omics analysis, delivering faster genomics and single-cell insights, with Databricks accelerating workflows.
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21 CFR Part 11 for the digital lab
By EVOBYTE Your partner for the digital lab If your laboratory is moving from paper to digital, understanding 21 CFR […]
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Sequence design with the Nucleotide Transformer
Discover how the Nucleotide Transformer guides sequence design and expression optimization for reliable gene expression.