Evidence map›Paper›PMID 30760303›Full record

ArticleGenome biology2019

Skmer: assembly-free and alignment-free sample identification using genome skims.

Shahab Sarmashghi, Kristine Bohmann, M Thomas P Gilbert, Vineet Bafna, Siavash Mirarab

Abstract readEvaluation Study
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Article
  2. Estimation of substitution and indel rates via k-mer statistics.Algorithms for molecular biology : AMB · 2026
    Article
  3. Article
  4. Article
  5. DipSkmer: Reference-free population genomics with diploid genome skims.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. The gift of novelty: repeat-robustbioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. MELO-ED: learning locality-sensitive multi-embeddings for edit distance.bioRxiv : the preprint server for biology · 2025
    Article
  14. High species discrimination inPlant diversity · 2025
    Article
  15. Article
  16. Estimation of substitution and indel rates viaAlgorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Estimation of substitution and indel rates viabioRxiv : the preprint server for biology · 2025
    Article

24 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

5 authors.

Shahab SarmashghiDepartment of Electrical & Computer Engineering, University of California, San Diego, La Jolla, 92093, CA, USA.ORCID 0000-0003-0564-1643
Kristine BohmannEvolutionary Genomics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
M Thomas P GilbertEvolutionary Genomics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
Vineet BafnaDepartment of Computer Science & Engineering, University of California, San Diego, La Jolla, 92093, CA, USA. vbafna@cs.ucsd.edu.
Siavash MirarabDepartment of Electrical & Computer Engineering, University of California, San Diego, La Jolla, 92093, CA, USA. smirarab@ucsd.edu.

Funding

Computational methods for detecting patterns of complex genomic variationR01GM114362 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2016 to 2026
$3.1M
NIGMS NIH HHS R01 GM114362
6 · The paper itself

Abstract

The ability to inexpensively describe taxonomic diversity is critical in this era of rapid climate and biodiversity changes. The recent genome-skimming approach extends current barcoding practices beyond short markers by applying low-pass sequencing and recovering whole organelle genomes computationally. This approach discards the nuclear DNA, which constitutes the vast majority of the data. In contrast, we suggest using all unassembled reads. We introduce an assembly-free and alignment-free tool, Skmer, to compute genomic distances between the query and reference genome skims. Skmer shows excellent accuracy in estimating distances and identifying the closest match in reference datasets.

Indexed as

Genome, InsectModels, GeneticAnimalsBirdsDNA Barcoding, TaxonomicGenomicsPhylogenyAlignment-freeAssembly-freeDNA BarcodingDNA reference databaseGenome skimmingSecond generation sequencing

Identifiers

PMID30760303
PMCPMC6374904

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.