New features, data, types of data and more
Created and maintained by Cameron Davidson-Pilon, lifelines helps researchers answer “how long until something happens?” — whether that’s patient outcomes in cancer studies, subscriber [...]
We’re excited to share the dataset “Impact of Post-Lysis Stopping Point Prior to Reverse Transcription,” generated using the newly developed particle-templated instant partition sequencing [...]
phangorn is an R package for phylogenetic reconstruction and analysis. It supports Maximum Likelihood, Maximum Parsimony, distance-based methods, and Hadamard conjugation, enabling researchers to [...]
Understanding how genes behave within the structure of tissues is key to unlocking new biological insights. Current tools for spatial transcriptomics often look at [...]
Targeted therapies for melanoma, like BRAF and MEK inhibitors, can shrink tumors but often fail to completely eliminate all cancer cells. A small group [...]
Agent-based models (ABMs) are powerful tools for exploring how individual interactions lead to complex, emergent behaviors in biology, ecology, and society. Yet, assessing the [...]
Cancer evolves over time, but capturing these dynamics has long been a challenge. EVOFLUx is a new method that uses natural DNA methylation “barcodes” [...]
Tellurium is a Python environment for modeling and simulating biological systems. It provides a comprehensive toolkit for systems and synthetic biology, enabling researchers to [...]
From Brown et al. (https://pubmed.ncbi.nlm.nih.gov/38471099/), this dataset investigates the epithelial to mesenchymal transition (EMT) in pancreatic cancer. EMT is believed to correlate with metastatic [...]
InterpolAI is a deep learning-based tool that allows for advanced image analysis on biomedical images to help with 3D tissue mapping. Specifically, this tool [...]
