Evidence map›Paper›PMID 35189924›Full record

ReviewGenome biology2022

Contamination detection in genomic data: more is not enough.

Luc Cornet, Denis Baurain

Abstract readReview
In one paragraph

Review in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

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  14. International journal of systematic and evolutionary microbiology · 2025
    Article
  15. Review
  16. Decontamination of DNA sequences from a Streptomyces genome for optimal genome mining.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  17. Genome research · 2025
    Review
  18. Article
  19. Article
  20. Article
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

2 authors.

Luc CornetBCCM/IHEM, Mycology and Aerobiology, Sciensano, Bruxelles, Belgium.
Denis BaurainInBioS-PhytoSYSTEMS, Eukaryotic Phylogenomics, University of Liège, Liège, Belgium. denis.baurain@uliege.be.ORCID 0000-0003-2388-6185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The decreasing cost of sequencing and concomitant augmentation of publicly available genomes have created an acute need for automated software to assess genomic contamination. During the last 6 years, 18 programs have been published, each with its own strengths and weaknesses. Deciding which tools to use becomes more and more difficult without an understanding of the underlying algorithms. We review these programs, benchmarking six of them, and present their main operating principles. This article is intended to guide researchers in the selection of appropriate tools for specific applications. Finally, we present future challenges in the developing field of contamination detection.

Indexed as

GenomicsSoftwareAlgorithmsGenomeAlgorithmsContamination detectionCorroborationDatabasesGenomicsReview

Identifiers

PMID35189924
PMCPMC8862208

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.