Evidence map›Paper›PMID 24813450›Full record

ArticleNucleic acids research2014

WormNet v3: a network-assisted hypothesis-generating server for Caenorhabditis elegans.

Ara Cho, Junha Shin, Sohyun Hwang, Chanyoung Kim, Hongseok Shim, Hyojin Kim, Hanhae Kim, Insuk Lee

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  7. Identifying Influencers in Social Networks.Entropy (Basel, Switzerland) · 2020
    Article
  8. Article
  9. Article
  10. WormQTL2: an interactive platform for systems genetics in Caenorhabditis elegans.Database : the journal of biological databases and curation · 2020
    Article
  11. Article
  12. Article
  13. Functional Annotation ofBiomolecules · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  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

8 authors.

Ara ChoDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Junha ShinDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Sohyun HwangDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX, USA.
Chanyoung KimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Hongseok ShimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Hyojin KimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Hanhae KimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Insuk LeeDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea insuklee@yonsei.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput experimental technologies gradually shift the paradigm of biological research from hypothesis-validation toward hypothesis-generation science. Translating diverse types of large-scale experimental data into testable hypotheses, however, remains a daunting task. We previously demonstrated that heterogeneous genomics data can be integrated into a single genome-scale gene network with high prediction power for ribonucleic acid interference (RNAi) phenotypes in Caenorhabditis elegans, a popular metazoan model in the study of developmental biology, neurobiology and genetics. Here, we present WormNet version 3 (v3), which is a new network-assisted hypothesis-generating server for C. elegans. WormNet v3 includes major updates to the base gene network, which substantially improved predictions of RNAi phenotypes. The server generates various gene network-based hypotheses using three complementary network methods: (i) a phenotype-centric approach to 'find new members for a pathway'; (ii) a gene-centric approach to 'infer functions from network neighbors' and (iii) a context-centric approach to 'find context-associated hub genes', which is a new method to identify key genes that mediate physiology within a specific context. For example, we demonstrated that the context-centric approach can be used to identify potential molecular targets of toxic chemicals. WormNet v3 is freely accessible at http://www.inetbio.org/wormnet.

Indexed as

SoftwareAnimalsCaenorhabditis elegansDichlorvosGene Regulatory NetworksGenes, HelminthInsecticidesInternetPhenotypeRNA InterferenceDichlorvosInsecticides

Identifiers

PMID24813450
PMCPMC4086142

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.