Evidence map›Paper›PMID 42549888›Full record

ArticleBioinformatics (Oxford, England)2026

AniAnn's: alignment-free annotation of tandem repeat arrays using fast average nucleotide identity estimates.

Alexander Sweeten, Michael C Schatz, Adam M Phillippy

Abstract read
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Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Alexander SweetenGenome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, Bethesda, MD 20892, United States.ORCID 0000-0002-5316-2973
Michael C SchatzDepartment of Computer Science, Johns Hopkins University, Baltimore, MD 21218, United States.ORCID 0000-0002-4118-4446
Adam M PhillippyGenome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, Bethesda, MD 20892, United States.ORCID 0000-0003-2983-8934

Funding

Intramural Research Program of the National Human Genome Research InstituteUS National Institutes of Health DBI-2419522US National Institutes of Health IOS-2216612
6 · The paper itself

Abstract

motivationSatellite DNA has long posed challenges for genome assembly and analysis due to its low sequence complexity and poor mappability. These large heterochromatic arrays of tandem repeats are ubiquitous across eukaryotic genomes, yet remain understudied. Current methods for annotating satellite regions, and other classes of tandem repeat arrays, are limited in their ability to annotate divergent or novel sequences.

resultsIn this work, we introduce AniAnn's, an algorithm for annotating large blocks of tandemly repeating DNAs. AniAnn's exploits the high Average Nucleotide Identity (ANI) shared between repeat units of the same array to quickly and accurately infer the boundaries of such arrays. We show that AniAnn's improves the annotation of satellites and other tandem repeats within a variety of plant and animal genomes, while requiring only a fraction of the runtime compared to previous approaches. We conclude by exploring several use cases of AniAnn's as a lightweight method for masking repeats prior to whole-genome alignment as well as the de novo annotation and classification of satellite repeats. AVAILABILITY: AniAnn's is open source software and available at github.com/marbl/anianns.

Indexed as

AlgorithmsMolecular Sequence AnnotationSequence Analysis, DNASoftwareTandem Repeat SequencesAnimalsDNA, SatelliteSequence AlignmentDNA, Satellite

Identifiers

PMID42549888
PMCPMC13481692

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.