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

Jarno Alanko; Ilya B. Slizovskiy; Daniel Lokshtanov; Travis Gagie; Noelle Robertson Noyes; Christina A. Boucher

doi:10.1093/bioinformatics/btag100

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

Bioinformatics 2026 Open access

Read full text

Authors: Jarno Alanko, Ilya B. Slizovskiy, Daniel Lokshtanov, Travis Gagie, Noelle Robertson Noyes, Christina A. Boucher

DOI: 10.1093/bioinformatics/btag100

Cited by: 0

References: 4

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.

Fields of Study & Subjects

Genomics and Phylogenetic Studies Gene expression and cancer classification Bacterial Genetics and Biotechnology

Publication details

Journal / source: Bioinformatics
Volume: 42
Issue: 3
Publication date: 28 February 2026
Language: EN

References 4