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This weeks top spatial transcriptomics paper – Week 31 🧬
Spatiotemporal single-cell multiomics map tumor ecosystem dynamics from seeding to metastasis, revealing microenvironment-driven cancer progression.
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Job Opening – Student Job Agentic AI
Working student in Data Science / AI to support the development of AI agent systems for life science applications. The role…
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Scanpy scRNA-seq Normalization
In Scanpy, normalize scRNA-seq data to make cells comparable, improving HVG selection, PCA, clustering, and marker detection.
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Immuno Receptor Sequencing: TCR/BCR Basics & NGS Methods
Explore AIRR-seq and how TCR/BCR profiling with NGS informs drug discovery, immuno-oncology, and vaccine development.
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FACS Clustering in Python
High-dimensional FACS data reveal subtle immune cell populations that gating can miss; unsupervised clustering uncovers structure and tracks population shifts.
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This week’s top spatial transcriptomics papers 🧬 Week 22
Spatial transcriptomics advances: SPAC-seq and BRIDGE link CRISPR perturbations to tissue context and therapy response in cancer and neurobiology.
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From SOPs to Executable Workflows: Lab Automation Roadmap
Turn SOPs into executable workflows to boost reproducibility and streamline Tech Transfer with lab automation.
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Biological Knowledge Graphs for Drug Discovery
Biological knowledge graphs unify genes, pathways, phenotypes, and literature into an explainable view to accelerate drug discovery.
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Integrate scRNA-seq and Visium in scverse
Learn how to map Visium spatial data to a reference scRNA-seq using scverse: transfer cell-type labels and visualize spatial cell states.
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This weeks top spatial transcriptomics paper – Week 21 🧬
Cellist enables accurate, scalable cell segmentation and single-cell analysis across spatial transcriptomics by integrating imaging and gene expression.