# Quick Start

EVd3x is designed to help researchers move from a biological question to grounded evidence quickly.

## 1) Start a search

Use one of these input styles:
- Natural language: `show EV cargo linked to Parkinson disease`
- Single molecule: `SNCA` or `hsa-miR-7-5p`
- Collection list: `SNCA, LRRK2, RAB10, hsa-miR-7-5p`

## 2) What happens after **Analyze**

The app follows this sequence:
1. Build network and load node tree/graph.
2. Open **Summary** view first.
3. If one molecule is loaded: auto-select that node and load node summary.
4. If a system/collection is loaded: keep node unselected and load system summary.
5. Make the workspace interactive and then allow deeper tabs/chat follow-up.

## 3) First interpretation checklist

- Confirm the query context (single vs collection).
- Read summary cards before opening heavy tabs.
- Check EV support and source coverage.
- Use chat to request focused follow-ups (example: `open pathway tab` or `export current view as csv with gene,score`).

## 4) Fast navigation

- **Summary**: start point for interpretation.
- **EV Evidence**: verify cargo evidence and EV-TRACK provenance.
- **Pathway**: enrichment context.
- **Disease**: disease linkage context.
- **Cell Types / L-R / PPI**: context and communication depth.

## 5) Good practice

- Keep the first query narrow and biologically specific.
- Expand only after reviewing top results.
- Export and archive when preparing figures or reports.