astropy

Performs phylogenetic tree analysis and visualization, enabling researchers to process, manipulate, and render evolutionary tree data with advanced computational methods.

Generates comprehensive market research reports by analyzing industry trends, competitive landscapes, and data-driven insights for strategic business decision-making.

Predicts protein-ligand binding poses and affinities using advanced deep learning models for structure-based drug discovery

Performs geospatial data management, querying, and spatial analysis across multiple database systems with advanced geographic coordinate processing

Queries and retrieves comprehensive pharmaceutical data, including drug interactions, targets, and molecular properties from the DrugBank knowledge base.

Performs dimensionality reduction and visualization of high-dimensional datasets using UMAP for machine learning and data exploration

Generates professional data visualizations and plots with Python, enabling complex statistical graphics, scientific charts, and interactive data representations.

Enables efficient querying, exploration, and analysis of large-scale single-cell genomics datasets using the CZ CELLxGENE Census data portal

Retrieves and processes scientific datasets from Data Commons, enabling quick access to structured research information across multiple domains

Streamlines bioinformatics workflows by automating data transfer, pipeline execution, and result tracking on the Latch.bio platform.