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AI-Ready Data in Lab Models: Metadata for Analytics
Turn messy lab records into machine-usable objects with AI-ready data, robust Lab Data Models, metadata, and provenance for faster analytics and automation.
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Databricks Professional Certification
The Databricks platform is gaining increasing popularity in the last years a go-to solution combining flexible data management and AI cpabilities.…
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This weeks top spatial transcriptomics paper 🧬 Week 16
Spatial transcriptomics reveal gradient-based primate cortex organization and a human SCN atlas; RESCUE boosts spatial omics across brain, cancer, and liver.
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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.