Explore content related to EVOBYTE Digital Biology products and services
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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.
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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.