Evidence map›Paper›PMID 30169674›Full record

ArticleGigaScience2018

ANNOgesic: a Swiss army knife for the RNA-seq based annotation of bacterial/archaeal genomes.

Sung-Huan Yu, Jörg Vogel, Konrad U Förstner

Abstract read
In one paragraph

Article in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Discovering Novel Bacterial Small RNA by RNA-seq Analysis Toolkit ANNOgesic.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  13. Article
  14. Article
  15. CRISPRi screen for enhancing heterologous α-amylase yield in Bacillus subtilis.Journal of industrial microbiology & biotechnology · 2023
    Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
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.

Sung-Huan YuInstitute of Molecular Infection Biology (IMIB), University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany.
Jörg VogelInstitute of Molecular Infection Biology (IMIB), University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany.
Konrad U FörstnerInstitute of Molecular Infection Biology (IMIB), University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the gene regulation of an organism of interest, a comprehensive genome annotation is essential. While some features, such as coding sequences, can be computationally predicted with high accuracy based purely on the genomic sequence, others, such as promoter elements or noncoding RNAs, are harder to detect. RNA sequencing (RNA-seq) has proven to be an efficient method to identify these genomic features and to improve genome annotations. However, processing and integrating RNA-seq data in order to generate high-resolution annotations is challenging, time consuming, and requires numerous steps. We have constructed a powerful and modular tool called ANNOgesic that provides the required analyses and simplifies RNA-seq-based bacterial and archaeal genome annotation. It can integrate data from conventional RNA-seq and differential RNA-seq and predicts and annotates numerous features, including small noncoding RNAs, with high precision. The software is available under an open source license (ISCL) at https://pypi.org/project/ANNOgesic/.

Indexed as

Genome, ArchaealGenome, BacterialSoftwareArchaeaBacteriaMolecular Sequence AnnotationRNA, ArchaealRNA, BacterialRNA, UntranslatedRNA, ArchaealRNA, BacterialRNA, Untranslated

Identifiers

PMID30169674
PMCPMC6123526

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.