# consensus_peaks

> Geniml provides tools for building genomic "universes" - standardized reference sets of consensus peaks from collections of BED files. These universes repr

- Source: https://doutorai.pt/en/components/skills__consensus-peaks
- Type: Skills
- Category: Scientific
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **skill** that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/consensus-peaks && curl -fsSL https://doutorai.pt/data/lib/skills__consensus-peaks.md -o .claude/skills/consensus-peaks/SKILL.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

```
# Consensus Peaks: Universe Building

## Overview

Geniml provides tools for building genomic "universes" - standardized reference sets of consensus peaks from collections of BED files. These universes represent genomic regions where analyzed datasets show significant coverage overlap, serving as reference vocabularies for tokenization and analysis.

## When to Use

Use consensus peak creation when:
- Building reference peak sets from multiple experiments
- Creating universe files for Region2Vec or BEDspace tokenization
- Standardizing genomic regions across a collection of datasets
- Defining

- 🔒 Full content on the Pro plan (€7.99/month) -
```

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__consensus-peaks