Evidence map›Paper›PMID 41512286›Full record

ArticleBioinformatics (Oxford, England)2026

sedimix: a workflow for the analysis of hominin nuclear DNA sequences from sediments.

Jierui Xu, Elena I Zavala, Priya Moorjani

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Quick Analysis of Sedimentary Ancient DNA Using quicksand.Molecular biology and evolution · 2025
    Article
4 · The record

Corrections and comments

  • Update of
    2025
5 · Who and what money

Authors and funding

3 authors.

Jierui XuDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, 94720, United States.ORCID 0000-0003-1146-3775
Elena I ZavalaDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, 94720, United States.ORCID 0000-0001-7687-5370
Priya MoorjaniDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, 94720, United States.

Funding

Burroughs Wellcome FundBWF grantKoret-UC Berkeley-Tel Aviv University Initiative in Computational Biology and BioinformaticsMiller Institute in Basic Research Science at University of California, Berkeley and the Novo Nordisk Hallas-Møller Emerging NNF24OC0088862
6 · The paper itself

Abstract

summarySediment DNA-the recovery of genetic material from archaeological sediments-is an exciting new frontier in ancient DNA research, offering the potential to study individuals at a given archaeological site without destructive sampling. In recent years, several studies have demonstrated the promise of this approach by extracting hominin DNA from prehistoric sediments, including those dating back to the Middle or Late Pleistocene. However, a lack of open-source workflows for analysis of hominin sediment DNA samples poses a challenge for data processing and reproducibility of findings across studies. Here, we introduce a snakemake workflow, sedimix, for processing genomic sequences from archaeological sediment DNA samples to identify hominin sequences and generate relevant summary statistics to assess the reliability of the pipeline. By performing simulations and comparing our results to two published studies with human DNA from ∼25,000 years ago (including shotgun data from a sediment sample and capture data from touch DNA recovered from a deer tooth pendant) we demonstrate that sedimix yields accurate and reliable inferences. sedimix offers a reliable and adaptable framework to aid in the analysis of sediment DNA datasets and improve reproducibility across studies. AVAILABILITY AND IMPLEMENTATION: sedimix is available as an open-source software with the associated code, example data, and user manual with installation instructions available at https://github.com/jierui-cell/sedimix. A permanent archived version of this release is available via Zenodo: https://doi.org/10.5281/zenodo.17244854.

Indexed as

DNADNA, AncientGeologic SedimentsHominidaeSequence Analysis, DNASoftwareAnimalsHumansWorkflowDNADNA, Ancient

Identifiers

PMID41512286
PMCPMC12866666

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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.