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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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Ambient RNA in scRNA-seq and how to remove it
Ambient RNA can skew scRNA-seq results. Learn what it is, why it matters, and how DecontX cleans ambient contamination for clearer…
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Tracking Material Consumption and Waste in a Digital Lab
Real-time material tracking in a digital lab links usage to ERP, cutting costs, reducing waste, and shrinking storage.
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NGS File Format Primer: FASTQ, SAM/BAM, CRAM
NGS file formats are the shipping labels of sequencing data. This guide unpacks FASTQ, SAM/BAM, and CRAM with quick checks and…
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This weeks top spatial transcriptomics paper 🧬 Week 9
Spatial transcriptomics reveals tumor microenvironment niches and biomarkers shaping cancer progression and immunotherapy across organs.
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From scGPT to scConcept: Models for Single-Cell Biology
Foundation models for single-cell biology are moving from reconstruction to contrastive pretraining, yielding technology-agnostic, robust cell representations.
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HL7 FHIR in the Digital Lab: Data Standards
HL7 FHIR standardizes lab data exchange, enabling secure, interoperable sharing between instruments, LIMS, and EHRs to speed results and improve quality.
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GeoMx DSP Explained: How It Works & When to Use It
GeoMx DSP enables ROI-based, FFPE-friendly spatial profiling with UV-cleavable barcodes, delivering ROI-level counts for targeted RNA and protein panels.
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This week’s top spatial transcriptomics papers 🧬 Week 8
Spatial transcriptomics exposes MYCN-driven liver cancer niches, CD276-mediated chemoresistance in PDAC, CIS in HPV TSCC, and key cancer targets via TWAS.
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Streamlit for Omics: Interactive Visualizations in Python
Streamlit for Omics enables interactive, Python-based omics dashboards in minutes with live filtering and visuals.