Scanning the frontiers of bioinformatics, AI, and cancer research.
This study utilizes RNA sequencing to demonstrate how an individual's inherited genetic background influences the evolutionary trajectory of their cancer, explaining why tumors with identical mutations may grow and respond to treatments differently
Posit announced lorax, a new R package that helps characterize fitted tree- and rule-based models . It extracts decision rules, identifies which predictors are actively used, and converts trees for visualization
Researchers introduced MIRACLE, an AI-driven continual learning method that allows RNA sequencing datasets to be dynamically integrated, enabling single-cell atlases to efficiently grow as new multimodal data is published
Posit Assistant is an AI data analysis assistant built into Positron, Posit's source-available IDE for R and Python, that connects to your live session to help you explore data, build reproducible analysis with code, and generate visualizations. It’s also available in RStudio and as a terminal application. Unlike AI coding tools designed to help you write software faster, Posit Assistant tracks whether your analysis remains accurate and reproducible as your research and workflows evolve, making analytical trust an ongoing practice rather than a one-time check.
Positron has officially launched its native Jupyter Notebook editor out of alpha . It provides a first-class notebook experience specifically tailored for data scientists, featuring built-in environment management, AI assistance, and interactive data exploration
Spatial transcriptomics has become one of the most exciting advances in genomics because it allows researchers to measure gene activity while preserving the original location of cells within a tissue. Unlike traditional RNA sequencing, which requires tissues to be broken apart, spatial transcriptomics reveals not only which genes are active, but also exactly where those genes are expressed. This additional layer of information helps scientists better understand how cells interact with one another during health and disease. Researchers from the Walter and Eliza Hall Institute of Medical Research, Australia, have developed SpatialBench, a new reference dataset that compares several of the most widely used spatial transcriptomics technologies using the same biological samples.
MCP is an open standard for how AI applications can discover and use tools, data sources, and other capabilities like shared prompts. First released in November 2024 by Anthropic, it has grown in popularity and seen broad adoption. In December 2025, MCP was donated to the Agentic AI Foundation (AAIF), under the Linux Foundation, so it will remain an open standard.