ReviewThe Plant cell2009
Web-queryable large-scale data sets for hypothesis generation in plant biology.
Review in The Plant cell, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 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
46 citing papers in PubMed.
- Transcriptome Meta-Analysis Associated Targeting Hub Genes and Pathways of Drought and Salt Stress Responses in Cotton (Frontiers in plant science · 2022Article
- An Arabidopsis lipid map reveals differences between tissues and dynamic changes throughout development.The Plant journal : for cell and molecular biology · 2021Article
- A method to analyze time expression profiles demonstrated in a database of chili pepper fruit development.Scientific reports · 2021Article
- Anno genominis XX: 20 years of Arabidopsis genomics.The Plant cell · 2021Review
- Araport Lives: An Updated Framework for Arabidopsis Bioinformatics.The Plant cell · 2020Article
- A Portion of the Apomixis Locus of Paspalum Simplex is Microsyntenic with an Unstable Chromosome Segment Highly Conserved Among Poaceae.Scientific reports · 2019Article
- Comparative analysis of the male inflorescence transcriptome profiles of an ms22 mutant of maize.PloS one · 2018Article
- Root Cell-Specific Regulators of Phosphate-Dependent Growth.Plant physiology · 2017Article
- Learning from Co-expression Networks: Possibilities and Challenges.Frontiers in plant science · 2016Review
- Araport: the Arabidopsis information portal.Nucleic acids research · 2015Article
- COXPRESdb in 2015: coexpression database for animal species by DNA-microarray and RNAseq-based expression data with multiple quality assessment systems.Nucleic acids research · 2015Article
- Comparative transcriptome atlases reveal altered gene expression modules between two Cleomaceae C3 and C4 plant species.The Plant cell · 2014Article
- Integrating bioinformatic resources to predict transcription factors interacting with cis-sequences conserved in co-regulated genes.BMC genomics · 2014Article
- Identification of a novel type of WRKY transcription factor binding site in elicitor-responsive cis-sequences from Arabidopsis thaliana.Plant molecular biology · 2014Article
- Galanthamine, an anticholinesterase drug, effects plant growth and development in Artemisia tridentate Nutt. via modulation of auxin and neutrotransmitter signaling.Plant signaling & behavior · 2014Article
- Article
- RNA-seq of Arabidopsis pollen uncovers novel transcription and alternative splicing.Plant physiology · 2013Article
- The potential of text mining in data integration and network biology for plant research: a case study on Arabidopsis.The Plant cell · 2013Article
- Efficiency of neural network-based combinatorial model predicting optimal culture conditions for maximum biomass yields in hairy root cultures.Plant cell reports · 2013Article
- Integration of bioinformatics and synthetic promoters leads to the discovery of novel elicitor-responsive cis-regulatory sequences in Arabidopsis.Plant physiology · 2012Article
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
No grant is acknowledged in the PubMed record.
Abstract
The approaching end of the 21st century's first decade marks an exciting time for plant biology. Several National Science Foundation Arabidopsis 2010 Projects will conclude, and whether or not the stated goal of the National Science Foundation 2010 Program-to determine the function of 25,000 Arabidopsis genes by 2010-is reached, these projects and others in a similar vein, such as those performed by the AtGenExpress Consortium and various plant genome sequencing initiatives, have generated important and unprecedented large-scale data sets. While providing significant biological insights for the individual laboratories that generated them, these data sets, in conjunction with the appropriate tools, are also permitting plant biologists worldwide to gain new insights into their own biological systems of interest, often at a mouse click through a Web browser. This review provides an overview of several such genomic, epigenomic, transcriptomic, proteomic, and metabolomic data sets and describes Web-based tools for querying them in the context of hypothesis generation for plant biology. We provide five biological examples of how such tools and data sets have been used to provide biological insight.
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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.