ArticlePlant physiology2007
Purdue ionomics information management system. An integrated functional genomics platform.
Article in Plant physiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
What it found
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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.
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Who cites it
54 citing papers in PubMed, 125 citations in OpenAlex.
- Traits linked to natural variation of sulfur content in Arabidopsis thaliana.Journal of experimental botany · 2024Article
- Genetic and genomic interventions in crop biofortification: Examples in millets.Frontiers in plant science · 2023Review
- Loss of SALT OVERLY SENSITIVE 1 prevents virescence in chloroplast K+/H+ EFFLUX ANTIPORTER-deficient mutants.Plant physiology · 2022Article
- Recent advances in the application of ionomics in metabolic diseases.Frontiers in nutrition · 2022Review
- Magnesium and calcium overaccumulate in the leaves of a schengen3 mutant of Brassica rapa.Plant physiology · 2021Article
- Disease Ionomics: Understanding the Role of Ions in Complex Disease.International journal of molecular sciences · 2020Review
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- Species-Wide Variation in Shoot Nitrate Concentration, and Genetic Loci Controlling Nitrate, Phosphorus and Potassium Accumulation inFrontiers in plant science · 2018Article
- Identification of Candidate Genes for Calcium and Magnesium Accumulation inFrontiers in plant science · 2017Article
- Into the Wild: Oryza Species as Sources for Enhanced Nutrient Accumulation and Metal Tolerance in Rice.Frontiers in plant science · 2016Article
- Non-Specific Root Transport of Nutrient Gives Access to an Early Nutritional Indicator: The Case of Sulfate and Molybdate.PloS one · 2016Article
- Caspary's conductor.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Proteomics, metabolomics, and ionomics perspectives of salinity tolerance in halophytes.Frontiers in plant science · 2015Review
- A software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices.Plant methods · 2015Article
- Genome-wide association mapping identifies a new arsenate reductase enzyme critical for limiting arsenic accumulation in plants.PLoS biology · 2014Article
- Variation in sulfur and selenium accumulation is controlled by naturally occurring isoforms of the key sulfur assimilation enzyme ADENOSINE 5'-PHOSPHOSULFATE REDUCTASE2 across the Arabidopsis species range.Plant physiology · 2014Article
- Dissection of the control of anion homeostasis by associative transcriptomics in Brassica napus.Plant physiology · 2014Article
- Genetical and comparative genomics of Brassica under altered Ca supply identifies Arabidopsis Ca-transporter orthologs.The Plant cell · 2014Article
- Discovering functional modules across diverse maize transcriptomes using COB, the Co-expression Browser.PloS one · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The advent of high-throughput phenotyping technologies has created a deluge of information that is difficult to deal with without the appropriate data management tools. These data management tools should integrate defined workflow controls for genomic-scale data acquisition and validation, data storage and retrieval, and data analysis, indexed around the genomic information of the organism of interest. To maximize the impact of these large datasets, it is critical that they are rapidly disseminated to the broader research community, allowing open access for data mining and discovery. We describe here a system that incorporates such functionalities developed around the Purdue University high-throughput ionomics phenotyping platform. The Purdue Ionomics Information Management System (PiiMS) provides integrated workflow control, data storage, and analysis to facilitate high-throughput data acquisition, along with integrated tools for data search, retrieval, and visualization for hypothesis development. PiiMS is deployed as a World Wide Web-enabled system, allowing for integration of distributed workflow processes and open access to raw data for analysis by numerous laboratories. PiiMS currently contains data on shoot concentrations of P, Ca, K, Mg, Cu, Fe, Zn, Mn, Co, Ni, B, Se, Mo, Na, As, and Cd in over 60,000 shoot tissue samples of Arabidopsis (Arabidopsis thaliana), including ethyl methanesulfonate, fast-neutron and defined T-DNA mutants, and natural accession and populations of recombinant inbred lines from over 800 separate experiments, representing over 1,000,000 fully quantitative elemental concentrations. PiiMS is accessible at www.purdue.edu/dp/ionomics.
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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.