CarpeDeam: a de novo metagenome assembler for heavily damaged ancient datasets

De novo assembly of ancient metagenomic datasets is a challenging task. Ultra-short fragment size and characteristic postmortem damage patterns of sequenced ancient DNA molecules leave current tools ill-equipped for ideal assembly. We present CarpeDeam, a novel damage-aware de novo assembler designed specifically for ancient metagenomic samples. Utilizing maximum-likelihood frameworks that integrate sample-specific damage patterns, CarpeDeam demonstrates improved recovery of longer continuous sequences and protein sequences in many simulated and empirical datasets compared to existing assemblers. As a pioneering ancient metagenome assembler, CarpeDeam opens the door for new opportunities in functional and taxonomic analyses of ancient microbial communities.

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Publication Details

Journal
Genome biology
Published
2025-10-27
DOI
https://doi.org/10.1186/s13059-025-03839-5
Citations
1
Primary Topic
Forensic and Genetic Research
Type
article
Field-Weighted Citation Impact
1.82

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CarpeDeam: a de novo metagenome assembler for heavily damaged ancient datasets

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CarpeDeam: a de novo metagenome assembler for heavily damaged ancient datasets

Johannes Söding, Gabriel Renaud, Antonio Fernàndez-Guerra, Annika Jochheim, Peter Wad Sackett, Louis Kraft, Martin Steinegger
article en
1 citations

Abstract

De novo assembly of ancient metagenomic datasets is a challenging task. Ultra-short fragment size and characteristic postmortem damage patterns of sequenced ancient DNA molecules leave current tools ill-equipped for ideal assembly. We present CarpeDeam, a novel damage-aware de novo assembler designed specifically for ancient metagenomic samples. Utilizing maximum-likelihood frameworks that integrate sample-specific damage patterns, CarpeDeam demonstrates improved recovery of longer continuous sequences and protein sequences in many simulated and empirical datasets compared to existing assemblers. As a pioneering ancient metagenome assembler, CarpeDeam opens the door for new opportunities in functional and taxonomic analyses of ancient microbial communities.

Genome biologyVol. 26(1)
University of Copenhagen (DK), Seoul National University (KR), Sustainability Institute (ZA), International Max Planck Research School for Advanced Methods in Process and Systems Engineering (DE), Université Laval (CA), Max Planck Institute for Multidisciplinary Sciences (DE), University of Göttingen (DE), Technical University of Denmark (DK)
National Research Foundation, Danmarks Grundforskningsfond, Bundesministerium für Bildung und Forschung, Novo Nordisk, Danmarks Tekniske Universitet, Novo Nordisk Fonden, German Network for Bioinformatics Infrastructure
Openalex Percentile: Top 12%
Forensic and Genetic Research
1.82
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