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AI Knowledge Base for AI Models From Lab Protocols
Building an AI knowledge base for AI models from lab protocols enables an AI assistant to answer questions, cite sources, and improve accuracy in the lab.
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AI-Ready Metadata: The Minimum Context for Search
In an AI-Ready Laboratory, metadata is the backbone that makes results searchable, reusable, and ready for analytics.
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Single-Cell Genomics: Atlas Mapping vs De Novo Analysis
Compare atlas mapping, label transfer, de novo analysis, and transfer learning in single-cell genomics for speed, bias, and discovery.
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Single-Cell Proteomics for Data Scientists: Structures & QC
Single-cell proteomics (SCP) explains data structures, QC, and missingness in DIA/DDA workflows, showing how proteins complement scRNA-seq analyses.
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This week’s top spatial transcriptomics papers 🧬 Week 15
Single-cell and spatial analyses map the maternal–fetal interface, placentation, and immune tolerance, linking genetics to pregnancy health and disease.
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Cloud LIMS: lower costs, faster deployment, multi-site
Cloud LIMS shifts labs to the cloud, cutting costs, accelerating rollouts, and enabling secure, multi-site collaboration with solid data privacy and…
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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.