Evidence map›Paper›PMID 41146290›Full record

ArticleGenome biology2025

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

Louis Kraft, Johannes Söding, Martin Steinegger, Annika Jochheim, Peter Wad Sackett, Antonio Fernandez-Guerra, Gabriel Renaud

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Louis KraftDepartment of Health Technology, Section for Bioinformatics, Technical University of Denmark, Kongens Lyngby, Denmark. loipwr3000@gmail.com.
Johannes SödingQuantitative and Computational Biology Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Martin SteineggerSchool of Biological Sciences, Seoul National University, Seoul, South Korea.
Annika JochheimQuantitative and Computational Biology Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Peter Wad SackettDepartment of Health Technology, Section for Bioinformatics, Technical University of Denmark, Kongens Lyngby, Denmark.
Antonio Fernandez-Guerra *Centre for Ancient Environmental Genomics, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
Gabriel Renaud *Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, Kongens Lyngby, Denmark. gabriel.reno@gmail.com.

Funding

German Network for Bioinformatics Infrastructure (de.NBI) 031A537B, 031A533A, 031A538A, 031A533B, 031A535A, 031A537C, 031A534A, 031A532BNovo Nordisk Fonden NNF20OC0062491
6 · The paper itself

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.

Indexed as

DNA, AncientMetagenomeMetagenomicsSoftwareHumansSequence Analysis, DNADNA, AncientAncient DNADe novo assemblyMetagenomicsMicrobesProteins

Identifiers

PMID41146290
PMCPMC12557918

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.