专题:Genetics, Bioinformatics, and Biomedical Research

This cluster of papers focuses on the challenges and innovations in bioinformatics education, including the need to analyze biological big data, defining core competencies, incorporating bioinformatics into life sciences curriculum, and addressing the training needs for genomics and data science. It also explores the development of sustainable capacity for bioinformatics training in Africa, the integration of computational biology into undergraduate education, and the establishment of bioinformatics postgraduate degree programs.
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Accelerating scientific discovery with Co-Scientist

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Hexagonal Licensing Protocol v2.0 — Comprehensive Specification with Three Critical Innovations

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International microscopy facility benchmarking survey

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PlantScience.ai: An LLM-powered virtual scientist for plant science

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Information in 4D-STEM: Where it is, and How to Use it

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.plan-26-10: Streaming TESSERA working, biodiversity action papers, and FPL takes off

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MADSci: A modular Python-based framework to enable autonomous science

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Somatic genomics as a discovery engine for biomedicine

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MCPmed: a call for Model Context Protocol-enabled bioinformatics web services for LLM-driven discovery

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1st TESSERA/CoRE hackathon at the Indian AI Summit

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