Evidence map›Paper›PMID 31508216›Full record

ArticleF1000Research2019

Large-scale sequence comparisons with

N Tessa Pierce, Luiz Irber, Taylor Reiter, Phillip Brooks, C Titus Brown

Abstract read
In one paragraph

Article in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.

0numbers the graph read from it
0cells of the map it votes in
141citing 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

141 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. The Oxytetracycline ProducerInternational journal of molecular sciences · 2026
    Article
  6. Article
  7. Alignment-freeJournal of clinical microbiology · 2026
    Article
  8. PROBEAT: PRObiotic Bacterial gEnome Analysis Toolkit.Current issues in molecular biology · 2026
    Article
  9. Complete genome sequence of multidrug-resistantMicrobiology resource announcements · 2026
    Article
  10. Article
  11. Article
  12. Genomic characterization ofMicrobiology spectrum · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. DipSkmer: Reference-free population genomics with diploid genome skims.bioRxiv : the preprint server for biology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Complete genome sequence data forMicrobiology resource announcements · 2026
    Article

81 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.

N Tessa Pierce *Department of Population Health and Reproduction, University of California, Davis, Davis, California, 95616, USA.ORCID 0000-0002-2942-5331
Luiz Irber *Department of Population Health and Reproduction, University of California, Davis, Davis, California, 95616, USA.ORCID 0000-0003-4371-9659
Taylor Reiter *Department of Population Health and Reproduction, University of California, Davis, Davis, California, 95616, USA.
Phillip Brooks *Department of Population Health and Reproduction, University of California, Davis, Davis, California, 95616, USA.ORCID 0000-0003-3987-244X
C Titus BrownDepartment of Population Health and Reproduction, University of California, Davis, Davis, California, 95616, USA.ORCID 0000-0001-6001-2677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sourmash software package uses MinHash-based sketching to create "signatures", compressed representations of DNA, RNA, and protein sequences, that can be stored, searched, explored, and taxonomically annotated. sourmash signatures can be used to estimate sequence similarity between very large data sets quickly and in low memory, and can be used to search large databases of genomes for matches to query genomes and metagenomes. sourmash is implemented in C++, Rust, and Python, and is freely available under the BSD license at http://github.com/dib-lab/sourmash.

Indexed as

GenomeSoftwareDatabases, Factualbioinformaticsk-merMinHashsequence analysissourmash

Identifiers

PMID31508216
PMCPMC6720031

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.