Evidence map›Paper›PMID 26458810›Full record

ArticleGenome biology2015

Schmutzi: estimation of contamination and endogenous mitochondrial consensus calling for ancient DNA.

Gabriel Renaud, Viviane Slon, Ana T Duggan, Janet Kelso

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 260 papers.

0numbers the graph read from it
0cells of the map it votes in
260citing papers in PubMed
16.3field-weighted citation impact, top 1% of its field
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

260 citing papers in PubMed, 524 citations in OpenAlex.

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  16. On the Edge of Empire: Paleogenomic Insights into Roman Dacia.bioRxiv : the preprint server for biology · 2026
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  18. The Genomic Legacy of the Norman Conquest in Rural England.bioRxiv : the preprint server for biology · 2026
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200 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 2 countries.

Gabriel RenaudMax Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, Leipzig, Germany. gabriel.reno@gmail.com.
Viviane SlonMax Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, Leipzig, Germany. viviane_slon@eva.mpg.de.
Ana T DugganMcMaster Ancient DNA Centre, Department of Anthropology, McMaster University, 1280 Main St West, Hamilton, ON, L8S 4L9, Canada. duggana@mcmaster.ca.
Janet KelsoMax Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, Leipzig, Germany. janet_kelso@eva.mpg.de.
Max Planck Institute for Evolutionary Anthropology · DEMcMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledAncient DNA is typically highly degraded with appreciable cytosine deamination, and contamination with present-day DNA often complicates the identification of endogenous molecules. Together, these factors impede accurate assembly of the endogenous ancient mitochondrial genome. We present schmutzi, an iterative approach to jointly estimate present-day human contamination in ancient human DNA datasets and reconstruct the endogenous mitochondrial genome. By using sequence deamination patterns and fragment length distributions, schmutzi accurately reconstructs the endogenous mitochondrial genome sequence even when contamination exceeds 50 %. Given sufficient coverage, schmutzi also produces reliable estimates of contamination across a range of contamination rates. AVAILABILITY: https://bioinf.eva.mpg.de/schmutzi/ license:GPLv3.

Indexed as

Consensus SequenceDNA ContaminationGenome, MitochondrialSoftwareAnimalsBase SequenceDNA, MitochondrialHumansNeanderthalsSequence Analysis, DNADNA, Mitochondrial

Identifiers

PMID26458810
PMCPMC4601135
OpenAlexW2099595226

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.