TideCluster: clustering and classification of tandem repeats for comparative and pangenomic analysis

Satellite DNA, composed of tandem arrays of relatively short repeated units, is a ubiquitous component of plant and animal genomes. Despite its biological importance, systematic investigation of satellite DNA remains challenging, in part because integrated bioinformatic tools for structured comparative analyses across individual arrays, chromosomes, and genomes are lacking. Here, we present TideCluster, a reference-independent pipeline that converts fragmented tandem repeat detections into genome-wide, interpretable repeat family catalogs. Starting from a genome assembly, TideCluster consolidates detected regions into arrays, clusters arrays by sequence similarity, reconstructs representative monomer consensus sequences, estimates locus-specific periodicity, identifies higher-order repeats, and generates GFF3 annotations. In addition to predefined visualizations, including the chromosomal distributions of satellite repeat families, TideCluster produces information-rich outputs that can be adapted for user-specific downstream analyses. We demonstrate its capabilities using the well-characterized genome of Arabidopsis thaliana and a set of Solanum species with highly diverse satellite repeat complements that vary markedly in abundance and have monomer lengths ranging from a few base pairs to more than 20 kb.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-09
DOI
https://doi.org/10.64898/2026.11.06.764801
Primary Topic
Chromosomal and Genetic Variations
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

TideCluster: clustering and classification of tandem repeats for comparative and pangenomic analysis

Petr Novák, Jir̆ı́ Macas
bioRxiv (Cold Spring Harbor Laboratory)
Chromosomal and Genetic Variations
preprint

TideCluster: clustering and classification of tandem repeats for comparative and pangenomic analysis

Petr Novák, Jir̆ı́ Macas
preprint en

Abstract

Satellite DNA, composed of tandem arrays of relatively short repeated units, is a ubiquitous component of plant and animal genomes. Despite its biological importance, systematic investigation of satellite DNA remains challenging, in part because integrated bioinformatic tools for structured comparative analyses across individual arrays, chromosomes, and genomes are lacking. Here, we present TideCluster, a reference-independent pipeline that converts fragmented tandem repeat detections into genome-wide, interpretable repeat family catalogs. Starting from a genome assembly, TideCluster consolidates detected regions into arrays, clusters arrays by sequence similarity, reconstructs representative monomer consensus sequences, estimates locus-specific periodicity, identifies higher-order repeats, and generates GFF3 annotations. In addition to predefined visualizations, including the chromosomal distributions of satellite repeat families, TideCluster produces information-rich outputs that can be adapted for user-specific downstream analyses. We demonstrate its capabilities using the well-characterized genome of Arabidopsis thaliana and a set of Solanum species with highly diverse satellite repeat complements that vary markedly in abundance and have monomer lengths ranging from a few base pairs to more than 20 kb.

bioRxiv (Cold Spring Harbor Laboratory)
Czech Academy of Sciences (CZ), Czech Academy of Sciences, Biology Centre (CZ)
Chromosomal and Genetic Variations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
TideCluster: clustering and classification of tandem repeats for comparative and pangenomic analysis — Petr Novák, Jir̆ı́ Macas · bioRxiv (Cold Spring Harbor Laboratory) (2026) | TGRS Research Map | TGRS