Evidence map›Paper›PMID 41164461›Full record

ArticlePlant direct2025

An Introduction to Network Analysis in Plant Biology.

Chamindika L Siriwardana, Ashleigh S Carlton, Thalia Lizeth Moncayo, Elizabeth A O'Bier, Laura E Bartley

Abstract read
In one paragraph

Article in Plant direct, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Chamindika L SiriwardanaTexas A&M University-Central Texas Department of Science and Mathematics Killeen Texas USA.ORCID https://orcid.org/0000-0002-7746-9427
Ashleigh S CarltonInstitute of Biological Chemistry Washington State University Pullman Washington USA.ORCID https://orcid.org/0009-0004-7327-1730
Thalia Lizeth MoncayoTexas A&M University-Central Texas Department of Science and Mathematics Killeen Texas USA.ORCID https://orcid.org/0009-0007-1723-4523
Elizabeth A O'BierTexas A&M University-Central Texas Department of Science and Mathematics Killeen Texas USA.ORCID https://orcid.org/0009-0009-2053-6084
Laura E BartleyInstitute of Biological Chemistry Washington State University Pullman Washington USA.ORCID https://orcid.org/0000-0001-8610-7551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This beginner's guide is intended for plant biologists new to network analysis. Here, we introduce key concepts and resources for researchers interested in incorporating network analysis into research, either as a stand-alone component for generating hypotheses or as a framework for examining and visualizing experimental results. Network analysis provides a powerful tool to predict gene functions. Advances in and reduced costs for systems biology techniques, such as genomics, transcriptomics, and proteomics, have generated abundant omics data for plants; however, the functional annotation of plant genes lags. Therefore, predictions from network analysis can be a starting point to annotate genes and ultimately elucidate genotype-phenotype relationships. In this paper, we introduce networks and compare network-building resources available for plant biologists, including databases and software for network analysis. We then compare four databases available for plant biologists in more detail: AraNet, GeneMANIA, ATTED-II, and STRING. AraNet and GeneMANIA are functional association networks, ATTED-II is a gene coexpression database, and STRING is a protein-protein interaction database. AraNet and ATTED-II are plant-specific databases that can analyze multiple plant species, whereas GeneMANIA builds networks for

Indexed as

AraNetATTED‐IIGeneMANIAnetwork analysisNuclear Factor‐YSTRING

Identifiers

PMID41164461
PMCPMC12560016

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.