New features, data, types of data and more
Tumors aren't genetically uniform, and which clones survive and why they survive has direct bearing on treatment resistance. LinG3D adds spatial context to lineage tracing. [...]
A new single-cell RNA-sequencing dataset provides in-depth profiling of estrogen receptor (ER)-positive primary and metastatic breast cancer tumors from 23 patients, offering insight into [...]
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 [...]