🧰 Featured Tool: Cumulus
Cumulus helps researchers tackle one of single-cell genomics' biggest challenges: analyzing datasets too large for a laptop. It's a cloud-based framework for large-scale scRNA-seq and [...]
🚀New Tool: LinG3D: Visualizing the Spatio-Temporal Dynamics of Clonal Evolution
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. [...]
🧰 CCKP Toolkit Tool Feature: lifelines
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 [...]
🧰CCKP Toolkit Tool Feature: phangorn
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 [...]
🚀New Tool: stImage
Understanding how genes behave within the structure of tissues is key to unlocking new biological insights. Current tools for spatial transcriptomics often look at [...]
🚀New Tool: SMoReGloS
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 [...]
🚀New Tool: EVOFLUx
Cancer evolves over time, but capturing these dynamics has long been a challenge. EVOFLUx is a new method that uses natural DNA methylation “barcodes” [...]
🧰 CCKP Toolkit Tool Feature: Tellurium
Tellurium is a Python environment for modeling and simulating biological systems. It provides a comprehensive toolkit for systems and synthetic biology, enabling researchers to [...]
🚀 Tool Spotlight: InterpolAI
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 [...]
Tool Spotlight: Spotiphy
Spotiphy is a Python-based pipeline designed to enhance our understanding of biological tissues by integrating sequencing-based spatial transcriptomics data, scRNA-seq data, and high-resolution histological [...]