# Response to: “best practices when benchmarking CATCH for the design of genome enrichment probes”

**Authors:** Jarno N Alanko, Ilya B Slizovskiy, Daniel Lokshtanov, Travis Gagie, Noelle R Noyes, Christina Boucher

PMC · DOI: 10.1093/bioinformatics/btag100 · Bioinformatics · 2026-03-03

## TL;DR

The paper explains Syotti, a new tool for designing genome enrichment probes that works well with large and varied bacterial datasets.

## Contribution

Syotti is introduced as a scalable and reliable probe-design tool suitable for large bacterial datasets.

## Key findings

- Syotti can perform simultaneous large-scale probe designs.
- Syotti is effective when other tools like CATCH are not suitable.
- Syotti requires minimal parameter tuning for use.

## Abstract

We clarify the design principles and evaluation choices underlying Syotti, a robust and scalable probe-design tool developed to support large, heterogeneous bacterial datasets with minimal parameter tuning. We highlight Syotti’s ability to perform simultaneous large-scale designs and its effectiveness as a reliable alternative when existing tools such as CATCH are not well suited to the problem setting.

## Full-text entities

- **Diseases:** CATCH (MESH:D002637)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12996868/full.md

## References

4 references — full list in the complete paper: https://tomesphere.com/paper/PMC12996868/full.md

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Source: https://tomesphere.com/paper/PMC12996868