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10 articles
A tutorial from MarkTechPost shows how to build a plasmid engineering workbench using Google Colab and open-source Python libraries, enabling interactive molecular biology analysis.
Learn to build a quantum-inspired peptide generation system that optimizes amino acid sequences for rare disease treatments, simulating quantum computing principles for drug development.
Learn how to build a complete single-cell RNA-seq analysis pipeline using Scanpy, from quality control to trajectory discovery.
This explainer explores Anthropic's BioMysteryBench, a new AI evaluation framework designed to test large language models in bioinformatics. It examines how the benchmark works, why it matters for AI development, and what it reveals about AI capabilities in specialized scientific domains.
Learn to build a research assistant framework that mimics GPT-Rosalind's reasoning capabilities for life sciences research, including hypothesis analysis, experimental design, and data integration.
Learn how to work with laminin protein data using Python and bioinformatics tools to understand the structural basis of cell therapies.
An advanced explainer of OpenAI's GPT-Rosalind, a specialized AI model designed to accelerate drug discovery and genomics research by leveraging advanced biochemistry and genomic analysis capabilities.
Learn how to build a basic pharmaceutical AI pipeline using transformer models and biological data, similar to what Helical is doing in the bio foundation models space.
Learn how to analyze microbial genome data using Python to identify potential novel small molecules - a technique similar to what companies like Generare are using to decode the 97% of microbial chemistry that's still unknown to science.
A new tutorial offers a complete guide to building a single-cell RNA sequencing analysis pipeline using Scanpy, from data preparation to cell type annotation.
