ArticleJournal of experimental botany2024
ggPlantmap: an open-source R package for the creation of informative and quantitative ggplot maps derived from plant images.
Article in Journal of experimental botany, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Integrated Bioinformatics and Experimental Validation of Post-Translational Modification-Related Biomarkers in Myocardial Ischemia-Reperfusion Injury.Journal of cardiovascular translational research · 2026Article
- The developing leaf of the wild grass Brachypodium distachyon at single-cell resolution.The Plant cell · 2026Article
- Multi-omics and bulk sequencing analyses reveal the roles of prognosis and immune aspects of super-enhancer-induced ZBED2 in pan-cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Discrete and cell-specific hypoxic responses in Arabidopsis roots resolved by single-nuclei transcriptomics.The New phytologist · 2026Article
- Transcription factors SlMYB41, SlMYB92, and SlWRKY71 regulate gene expression in the tomato exodermis.Journal of experimental botany · 2025Article
- Recruitment, rewiring and deep conservation in flowering plant gene regulation.Nature plants · 2025Article
- Bioinformatics prediction of function of T-cell exhaustion related genes in ischemic stroke.Scientific reports · 2025Article
- Analysis of microarray and single-cell RNA-seq identifies gene co-expression, cell-cell communication, and tumor environment associated with metabolite interconversion enzyme in prostate cancer.Discover oncology · 2025Article
- Association between gastrointestinal diseases and osteoarthritis risk based on data from NHANES 2011-2018.PloS one · 2025Article
- Connecting high-resolution 3D chromatin maps with cell division and cell differentiation at the root apical meristem.Plant cell reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
As plant research generates an ever-growing volume of spatial quantitative data, the need for decentralized and user-friendly visualization tools to explore large and complex datasets becomes crucial. Existing resources, such as the Plant eFP (electronic Fluorescent Pictograph) viewer, have played a pivotal role on the communication of gene expression data across many plant species. However, although widely used by the plant research community, the Plant eFP viewer lacks open and user-friendly tools for the creation of customized expression maps independently. Plant biologists with less coding experience can often encounter challenges when attempting to explore ways to communicate their own spatial quantitative data. We present 'ggPlantmap' an open-source R package designed to address this challenge by providing an easy and user-friendly method for the creation of ggplot representative maps from plant images. ggPlantmap is built in R, one of the most used languages in biology, to empower plant scientists to create and customize eFP-like viewers tailored to their experimental data. Here, we provide an overview of the package and tutorials that are accessible even to users with minimal R programming experience. We hope that ggPlantmap can assist the plant science community, fostering innovation, and improving our understanding of plant development and function.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.