3. Data, Science & AI

Deploys and scales Python-based machine learning models and compute-intensive tasks using cloud GPUs and serverless containers.

Fast CLI/Python tool for querying over 20 bioinformatics databases including gene info, BLAST, and AlphaFold structures.

Statistical modeling library for Python offering OLS, GLM, ARIMA, and mixed models with diagnostics for econometrics and time series analysis.

Full-featured computational pathology toolkit for advanced WSI analysis, nucleus segmentation, tissue graph construction, and ML model training on pathology data.

Expert assistance for AI/ML development, covering PyTorch, LangChain, LLM integration, and scientific computing tasks.

Accesses AlphaFold's database of AI-predicted protein structures, enabling retrieval by UniProt ID, file downloads, and confidence analysis for structural biology research.

Provides SHAP-based model interpretability and explainability, including feature importance and visualization plots for machine learning models.

Provides production-ready reinforcement learning algorithms (PPO, SAC, DQN) with scikit-learn-like API for standard experiments and quick prototyping.

Provides support for MATLAB/Octave scripting in numerical computing, data analysis, and scientific visualization tasks.

Provides a data structure for annotated matrices in single-cell genomics, supporting .h5ad file format and scverse ecosystem integration.

ETE Toolkit enables phylogenetic tree manipulation, evolutionary event detection, orthology analysis, and visualization using NCBI taxonomy and Newick/NHX formats.

Accesses Human Metabolome Database for metabolite search, chemical properties, and NMR/MS spectral data to support metabolomics research and compound identification.

Multi-objective optimization framework featuring NSGA-II, NSGA-III, and Pareto front handling for engineering design and scientific problems.

Provides structured guidelines for organizing and documenting Jupyter notebooks to ensure reproducibility and clarity in data science projects.

Queries Open Targets Platform for target-disease associations, drug target evidence, and therapeutic data to support biomedical research and drug discovery.

Provides computational tools for materials science, including crystal structure analysis, band structure calculations, and Materials Project integration.

Accesses ClinPGx pharmacogenomics database to query gene-drug interactions, CPIC guidelines, and allele functions for precision medicine decisions.

Enables efficient processing and analysis of massive tabular datasets (billions of rows) using out-of-core operations and lazy evaluation, supporting common data formats and visualization.

Provides direct REST API access to UniProt for protein searches, FASTA retrieval, and ID mapping in bioinformatics workflows.

Queries NHGRI-EBI GWAS Catalog for SNP-trait associations, retrieving p-values and summary statistics for genetic epidemiology and polygenic risk score analysis.

Analyzes Neuropixels neural recordings with preprocessing, spike sorting, quality metrics, and AI-assisted curation for electrophysiology research.

Queries ChEMBL database for bioactive molecules, retrieving bioactivity data (IC50, Ki) and supporting medicinal chemistry research.

Queries ClinicalTrials.gov API to search and retrieve clinical trial data by condition, drug, location, status, or phase for research and patient matching.

Configures AI assistant response formatting and interaction patterns for consistent, user-friendly LLM-based interactions.