Evidence map›Paper›PMID 36651964›Full record

ReviewJournal of molecular evolution2023

Best Practices in Designing, Sequencing, and Identifying Random DNA Barcodes.

Milo S Johnson, Sandeep Venkataram, Sergey Kryazhimskiy

Abstract readReview
In one paragraph

Review in Journal of molecular evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Determinants of metal import and specificity in a bacterial transporter.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Analysis of metagenomic data.Nature reviews. Methods primers · 2025
    Article
  16. Article
  17. Article
  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

3 authors.

Milo S Johnson *Department of Integrative Biology, University of California Berkeley, Berkeley, CA, 94720, USA.
Sandeep Venkataram *Department of Ecology, Behavior and Evolution, University of California San Diego, La Jolla, CA, 92093, USA.
Sergey KryazhimskiyDepartment of Ecology, Behavior and Evolution, University of California San Diego, La Jolla, CA, 92093, USA. skryazhi@ucsd.edu.ORCID http://orcid.org/0000-0001-9128-8705

Funding

Characterizing variation in the local structure of fitness landscapes to assess the predictability of evolutionR01GM137112 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KRYAZHIMSKIY, SERGEY A. · 2020 to 2023
$1.2M
NIGMS NIH HHS 1R01GM137112NIGMS NIH HHS R01 GM137112
6 · The paper itself

Abstract

Random DNA barcodes are a versatile tool for tracking cell lineages, with applications ranging from development to cancer to evolution. Here, we review and critically evaluate barcode designs as well as methods of barcode sequencing and initial processing of barcode data. We first demonstrate how various barcode design decisions affect data quality and propose a new design that balances all considerations that we are currently aware of. We then discuss various options for the preparation of barcode sequencing libraries, including inline indices and Unique Molecular Identifiers (UMIs). Finally, we test the performance of several established and new bioinformatic pipelines for the extraction of barcodes from raw sequencing reads and for error correction. We find that both alignment and regular expression-based approaches work well for barcode extraction, and that error-correction pipelines designed specifically for barcode data are superior to generic ones. Overall, this review will help researchers to approach their barcoding experiments in a deliberate and systematic way.

Indexed as

DNADNA Barcoding, TaxonomicComputational BiologyHigh-Throughput Nucleotide SequencingSequence Analysis, DNADNA

Identifiers

PMID36651964
PMCPMC10276077

What OpenQuestion holds

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LicenceCC BY
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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.