Evidence map›Paper›PMID 39789608›Full record

ArticleGenome biology2025

Pre-processing of paleogenomes: mitigating reference bias and postmortem damage in ancient genome data.

Dilek Koptekin, Etka Yapar, Kıvılcım Başak Vural, Ekin Sağlıcan, N Ezgi Altınışık, Anna-Sapfo Malaspinas, Can Alkan, Mehmet Somel

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A SNP panel for co-analysis of capture and shotgun ancient DNA data.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Review
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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

8 authors.

Dilek Koptekin *Department of Biological Sciences, Middle East Technical University, Ankara, Turkey. dilek.koptekin@metu.edu.tr.ORCID http://orcid.org/0000-0003-2664-5774
Etka Yapar *Department of Biological Sciences, Middle East Technical University, Ankara, Turkey.
Kıvılcım Başak Vural *Department of Biological Sciences, Middle East Technical University, Ankara, Turkey.
Ekin SağlıcanDepartment of Biological Sciences, Middle East Technical University, Ankara, Turkey.
N Ezgi AltınışıkHuman-G Laboratory, Department of Anthropology, Hacettepe University, Beytepe, Ankara, Turkey.
Anna-Sapfo MalaspinasDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Can AlkanDepartment of Computer Engineering, Bilkent University, Ankara, Turkey.
Mehmet SomelDepartment of Biological Sciences, Middle East Technical University, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate alternative strategies against reference bias and postmortem damage in low coverage paleogenomes. Compared to alignment to the linear reference genome, we show that masking known polymorphic sites and graph alignment effectively remove reference bias, but only starting from raw read files. We next study approaches to overcome postmortem damage: trimming, rescaling, and our newly developed algorithm, bamRefine (github.com/etkayapar/bamRefine and zenodo.org/records/14234666), masking reads only at positions possibly affected by PMD. We propose graph alignment coupled with bamRefine as a simple strategy to minimize data loss and bias, and urge the community to publish FASTQ files.

Indexed as

AlgorithmsDNA, AncientGenome, HumanGenomicsHumansSoftwareDNA, AncientAncient DNAGraph-reference genomeMaskingPost-mortem damageReference bias

Identifiers

PMID39789608
PMCPMC11721506

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.