Evidence map›Paper›PMID 36467589›Full record

ArticleComputational and structural biotechnology journal2022

Paralog Explorer: A resource for mining information about paralogs in common research organisms.

Yanhui Hu, Ben Ewen-Campen, Aram Comjean, Jonathan Rodiger, Stephanie E Mohr, Norbert Perrimon

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 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Large Numbers of New Human Paralogs Discovered.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. FlyPhoneDB2: A computational framework for analyzing cell-cell communication inComputational and structural biotechnology journal · 2025
    Article
  11. The subfunctionalization ofFrontiers in cell and developmental biology · 2025
    Article
  12. EB-SUN, a new microtubule plus-end tracking protein inMolecular biology of the cell · 2024
    Article
  13. Article
  14. EB-SUN, a New Microtubule Plus-End Tracking Protein inbioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Leveraging gene correlations in single cell transcriptomic data.bioRxiv : the preprint server for biology · 2023
    Article
  17. 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 at 2 institutions in 1 country.

Yanhui HuDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
Ben Ewen-CampenDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
Aram ComjeanDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
Jonathan RodigerDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
Stephanie E MohrDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
Norbert PerrimonDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
Harvard University · USHoward Hughes Medical Institute · US

Funding

Functional genomics resources for the Drosophila - TR&D3P41GM132087 · NIGMS · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2019 to 2023
$6.8M
Using CRISPR technology to study the function of paralogous genesR24OD026435 · OD · HARVARD MEDICAL SCHOOL · PI BELLEN, HUGO J, PERRIMON, NORBERT · 2018 to 2021
$2.5M
Drosophila resources for modeling human diseasesR24OD021997 · OD · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2016 to 2019
$1.5M
NIGMS NIH HHS P41 GM132087NIH HHS R24 OD021997NIH HHS R24 OD026435
6 · The paper itself

Abstract

Paralogs are genes which arose via gene duplication, and when such paralogs retain overlapping or redundant function, this poses a challenge to functional genetics research. Recent technological advancements have made it possible to systematically probe gene function for redundant genes using dual or multiplex gene perturbation, and there is a need for a simple bioinformatic tool to identify putative paralogs of a gene(s) of interest. We have developed Paralog Explorer (https://www.flyrnai.org/tools/paralogs/), an online resource that allows researchers to quickly and accurately identify candidate paralogous genes in the genomes of the model organisms

Indexed as

Bioinformatics resourcesDrosophilaEvolutionModel organismsParalog

Identifiers

PMID36467589
PMCPMC9712503
OpenAlexW4310073528

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.