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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dbVar for Computational Biologists: Guide to structural variation data
dbVar for Computational Biologists: A practical guide to exploring structural variation data with dbVar resources.
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Latent Spaces and Embeddings in Single-Cell Biology
Explore latent spaces and embeddings in single-cell analysis with visuals and code to compare PCA, t-SNE, and UMAP.
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Foundation Models for Single‑Cell Omics: scGPT
Foundation models for single-cell biology enable scalable representations; scGPT shows strong annotation and multi-omics potential after fine-tuning.
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Single‑Cell Data: Immune States and Lineages
Single‑cell profiling reveals how immune cells transition states and lineages, translating to clinical trials and target discovery.
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Why paper processes hinder lab automation and paperless labs
A paperless laboratory uses ELN and LIMS to automate workflows, reduce errors, and speed up audits with structured data.
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Genomic Data Commons Data Portal: Data Types and Tools
The GDC Data Portal harmonizes cancer genomics data with a user-friendly UI, API access, and scalable tools to accelerate research.
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Databricks: Unified data catalog to fix fragmented lab data
In a digital lab, data scatter across ELNs, LIMS, and instruments. A unified data catalog on Databricks brings shared meaning, governance,…
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Foundation Models for Single-Cell Biology: Geneformer
Geneformer and foundation models unlock scalable single-cell biology by learning shared representations of cells and genes for annotation and perturbations.
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Building a knowledge base for AI models from lab protocols
Turning lab protocols into a machine-readable knowledge base powers AI assistants, boosts traceability, and cuts errors in digital labs.
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Spatial Omics in Neurodegenerative Drug & Biomarker Discovery
Spatial omics links gene and protein signals to tissue context, revealing biomarker candidates and drug targets in Alzheimer’s, Parkinson’s, and ALS.