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Scope

This guide covers dataset selection, condition setup, and result exploration.

Step 1

Select a dataset

Search and select an available preprocessed dataset from the top panel in the analysis interface. (link)

Step 2

Set generation conditions

After selecting a dataset, choose the perturbation or disease context (e.g., breast cancer) and a preset condition (e.g., single target knockdown). (link)

Step 3

Analyze and export results

Review candidate outputs based on generated data, including marker expression changes and associated literature, patents, and drug information. (link)

Web vs API

Choose the interface that fits your workflow.

Web Application

Best for fast exploration and collaborative review.

Quick start with guided workflows and AI-assisted setup
Ideal for early-stage target brainstorming and team discussions
Accessible to non-programmers

API

Best for automation and large-scale execution.

Easily integrates with internal pipelines and notebook environments
Supports standardized, parameter-driven execution
Efficient for large-scale data analysis

API Example

A minimal request example to get started with integration.

API Docs

curl -X POST "https://api.knockg.com/v1/simulations" \
  -H "Authorization: Bearer <YOUR_API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{
    "dataset_id": "ds_example_001",
    "mode": "knockdown",
    "targets": ["GENE_A", "GENE_B"],
    "condition": "treated"
  }'