Evidence map›Paper›PMID 36147675›Full record

ArticleComputational and structural biotechnology journal2022

SAPPHIRE.CNN: Implementation of dRNA-seq-driven, species-specific promoter prediction using convolutional neural networks.

Lucas Coppens, Laura Wicke, Rob Lavigne

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. AnMicrobiology spectrum · 2026
    Article
  3. Article
  4. Article
  5. A fully synthetic Golden Gate assembly system for engineering aProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Characterisation of the NovelInternational journal of molecular sciences · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The TolC and Lipopolysaccharide-SpecificPHAGE (New Rochelle, N.Y.) · 2024
    Article
  16. Article
  17. Article
  18. Review
  19. 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 at 3 institutions in 3 countries.

Lucas CoppensDepartment of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, UK.
Laura WickeLaboratory of Gene Technology, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 21, Box 2462, 3001 Leuven, Belgium.
Rob LavigneLaboratory of Gene Technology, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 21, Box 2462, 3001 Leuven, Belgium.
Imperial College London · GBKU Leuven · BEUniversity of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data availability is a consistent bottleneck for the development of bacterial species-specific promoter prediction software. In this work we leverage genome-wide promoter datasets generated with dRNA-seq in the Gram-negative bacteria

Identifiers

PMID36147675
PMCPMC9478156
OpenAlexW4295008692

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.