Evidence map›Paper›PMID 37872569›Full record

ArticleGenome biology2023

aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow.

Zoé Pochon, Nora Bergfeldt, Emrah Kırdök, Mário Vicente, Thijessen Naidoo, Tom van der Valk, N Ezgi Altınışık, Maja Krzewińska, Love Dalén, Anders Götherström and 3 more

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  13. Quick Analysis of Sedimentary Ancient DNA Using quicksand.Molecular biology and evolution · 2025
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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

13 authors.

Zoé Pochon *Centre for Palaeogenetics, Stockholm, Sweden.
Nora Bergfeldt *Centre for Palaeogenetics, Stockholm, Sweden.
Emrah KırdökDepartment of Biotechnology, Faculty of Science, Mersin University, Mersin, Turkey.
Mário VicenteCentre for Palaeogenetics, Stockholm, Sweden.
Thijessen NaidooCentre for Palaeogenetics, Stockholm, Sweden.
Tom van der ValkCentre for Palaeogenetics, Stockholm, Sweden.
N Ezgi AltınışıkHuman-G Laboratory, Department of Anthropology, Hacettepe University, 06800, Beytepe, Ankara, Turkey.
Maja KrzewińskaCentre for Palaeogenetics, Stockholm, Sweden.
Love DalénCentre for Palaeogenetics, Stockholm, Sweden.
Anders Götherström *Centre for Palaeogenetics, Stockholm, Sweden.
Claudio Mirabello *Department of Physics, Chemistry and Biology, Science for Life Laboratory, National Bioinformatics Infrastructure Sweden, Linköping University, Linköping, Sweden.
Per Unneberg *Department of Cell and Molecular Biology, Science for Life Laboratory, National Bioinformatics Infrastructure Sweden, Uppsala University, Uppsala, Sweden.
Nikolay Oskolkov *Department of Biology, Science for Life Laboratory, National Bioinformatics Infrastructure Sweden, Lund University, Lund, Sweden. Nikolay.Oskolkov@biol.lu.se.ORCID http://orcid.org/0000-0001-5326-8893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of microbial data from archaeological samples is a growing field with great potential for understanding ancient environments, lifestyles, and diseases. However, high error rates have been a challenge in ancient metagenomics, and the availability of computational frameworks that meet the demands of the field is limited. Here, we propose aMeta, an accurate metagenomic profiling workflow for ancient DNA designed to minimize the amount of false discoveries and computer memory requirements. Using simulated data, we benchmark aMeta against a current state-of-the-art workflow and demonstrate its superiority in microbial detection and authentication, as well as substantially lower usage of computer memory.

Indexed as

MetagenomeMetagenomicsArchaeologyDNA, AncientWorkflowDNA, AncientAncient DNAAncient metagenomicsMicrobiome profilingPathogen detection

Identifiers

PMID37872569
PMCPMC10591440

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.