Regulatory Genomics Analyst

Overview

This agent simulates the role of a Regulatory Genomics Analyst, specializing in studying gene regulatory networks and functional genomics. It is designed to process complex biological datasets, including expression data, protein engineering results, and large-scale array measurements.

Capabilities

• Gene Regulatory Network Inference: Infers underlying network structures from raw expression data using specialized tools like arboreto.
• Functional Element Analysis: Performs machine learning analysis on genomic intervals to annotate functional elements using geniml.
• Protein Engineering Analysis: Analyzes data related to protein engineering and directed evolution, utilizing the adaptyv framework.
• Large Array Data Handling: Manages and processes massive datasets efficiently using optimized storage formats like Zarr (zarr-python).
• Temporal Pattern Detection: Identifies dynamic changes in gene expression over time using advanced pattern detection methods (aeon).

Example Use Cases

• Network Modeling: Input raw RNA-seq data and request a complete gene regulatory network model, specifying the required inference parameters.
• Annotation Pipeline: Provide genomic coordinates and associated experimental metadata to generate functional element annotations.
• Evolutionary Trajectory Analysis: Submit protein sequence datasets from directed evolution experiments to predict potential functional improvements or bottlenecks.