Evidence map›Paper›PMID 26792975›Full record

ReviewEvolutionary bioinformatics online2016

pATsi: Paralogs and Singleton Genes from Arabidopsis thaliana.

Luca Ambrosino, Hamed Bostan, Pasquale di Salle, Mara Sangiovanni, Alessandra Vigilante, Maria L Chiusano

Abstract readReview
In one paragraph

Review in Evolutionary bioinformatics online, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Characterization ofFrontiers in plant science · 2026
    Article
  2. Article
  3. Article
  4. Identifying Terpenoid Biosynthesis Genes inMolecules (Basel, Switzerland) · 2022
    Article
  5. Asymmetric Redundancy ofG3 (Bethesda, Md.) · 2019
    Article
  6. Frontiers in plant science · 2019
    Article
  7. Article
  8. 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

6 authors.

Luca AmbrosinoDepartment of Agriculture, University of Naples Federico II, Portici, Italy.
Hamed BostanDepartment of Agriculture, University of Naples Federico II, Portici, Italy.
Pasquale di SalleDepartment of Agriculture, University of Naples Federico II, Portici, Italy.
Mara SangiovanniDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy.
Alessandra VigilanteDepartment of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London, UK.; The Francis Crick Institute, Lincoln's Inn Fields Laboratories, London, UK.
Maria L ChiusanoDepartment of Agriculture, University of Naples Federico II, Portici, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arabidopsis thaliana is widely accepted as a model species in plant biology. Its genome, due to its small size and diploidy, was the first to be sequenced among plants, making this species also a reference for plant comparative genomics. Nevertheless, the evolutionary mechanisms that shaped the Arabidopsis genome are still controversial. Indeed, duplications, translocations, inversions, and gene loss events that contributed to the current organization are difficult to be traced. A reliable identification of paralogs and single-copy genes is essential to understand these mechanisms. Therefore, we implemented a dedicated pipeline to identify paralog genes and classify single-copy genes into opportune categories. PATsi, a web-accessible database, was organized to allow the straightforward access to the paralogs organized into networks and to the classification of single-copy genes. This permits to efficiently explore the gene collection of Arabidopsis for evolutionary investigations and comparative genomics.

Indexed as

Arabidopsis thalianaparalogssingletons

Identifiers

PMID26792975
PMCPMC4710182

What OpenQuestion holds

Textmetadata
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.