Big Data Tools
Large sequence datasets require choices about scalability and sampling. This section covers tools for deciding whether a full distance matrix is feasible and when to use CLARA-style clustering instead.
Choose a Tool
| Question | Start with |
|---|---|
| Are many sequences duplicated, and can that help computation? | Check Uniqueness Rate |
| How do I cluster a large single-domain sequence dataset? | CLARA |
| How do I scale multidomain sequence data? | Scaling Multidomain Workflows |
Recommended Order
Check uniqueness first, then choose whether a full distance matrix is realistic. If a full matrix is too expensive, use CLARA for single-domain workflows. For multidomain data, use the scaling guide to choose IDCD, CAT, or DAT, then pilot memory and runtime before full analysis.