Lightlines
By google-deepmind

encode-ccres-database

google-deepmind1.9k installs

Find regulatory elements and their experimental evidence.

What it does

Retrieves regulatory-element annotations, gene associations, expression data, and experimental datasets from ENCODE.

When to use it

Use when querying regulatory annotations or raw experimental data across human cell types.

How to use it

Give it an ENCODE data query; it retrieves the results through helper scripts and saves JSON in a temporary location.

Uses

Good to know

  • works out of sight

Latest review

What you need · 3

Requires uv installed and on PATH; the instructions direct the agent to the uv skill for setup.

The query scripts require Python 3.10 or newer.


Access · 2

This skill

SCREEN

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Queries SCREEN regulatory data

ENCODE Portal

Read

Searches ENCODE experimental datasets