20 years of the Bio-Analytic Resource for Plant Biology

The Bio-Analytic Resource for Plant Biology ('the BAR', at https://bar.utoronto.ca) is celebrating its 20th year in operation in 2025. The BAR encompasses and provides visualization tools for large 'omics data sets from plants. The BAR covers data from Arabidopsis, tomato, wheat, barley and 29 other plant species (with data for 2 others to be released soon). These data include nucleotide and protein sequence data, gene expression data, protein-protein and protein-DNA interactions, protein structures, subcellular localizations, and polymorphisms. The data are stored in more than 200 relational databases holding 186 GB of data and are presented to the researchers via web apps. These web apps provide data analysis and visualization tools. Some of the most popular tools are eFP ('electronic fluorescent pictograph') Browsers, ePlants and ThaleMine (an Arabidopsis-specific instance of InterMine). The BAR was designated a Global Core Biodata Resource in 2023. Like other GCBRs, the BAR has excellent operational stability, provides access without login requirement, and provides an API for researchers to be able to access BAR data programmatically. We present in this update a new overarching search tool called Gaia that permits easy access to all BAR data, powered by machine learning and artificial intelligence.

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Publication Details

Journal
Nucleic Acids Research
Published
2024-10-23
DOI
https://doi.org/10.1093/nar/gkae920
Citations
2
Primary Topic
Plant Pathogens and Resistance
Type
article
Field-Weighted Citation Impact
1.20

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article

20 years of the Bio-Analytic Resource for Plant Biology

Alexander Sullivan, Bruno Pereira, Faisal Z. Qureshi, Tianhui Zhao et al.
2 citations
Nucleic Acids Research
Plant Pathogens and Resistance
1.20
article

20 years of the Bio-Analytic Resource for Plant Biology

Alexander Sullivan, Bruno Pereira, Faisal Z. Qureshi, Tianhui Zhao, Rachel Wong, Michael N. Lombardo, Asher Pasha, Jiancang Zhuang, Vincent Lau, Nicholas J. Provart, Youyang Li, Ashley Christendat
article en
2 citations

Abstract

The Bio-Analytic Resource for Plant Biology ('the BAR', at https://bar.utoronto.ca) is celebrating its 20th year in operation in 2025. The BAR encompasses and provides visualization tools for large 'omics data sets from plants. The BAR covers data from Arabidopsis, tomato, wheat, barley and 29 other plant species (with data for 2 others to be released soon). These data include nucleotide and protein sequence data, gene expression data, protein-protein and protein-DNA interactions, protein structures, subcellular localizations, and polymorphisms. The data are stored in more than 200 relational databases holding 186 GB of data and are presented to the researchers via web apps. These web apps provide data analysis and visualization tools. Some of the most popular tools are eFP ('electronic fluorescent pictograph') Browsers, ePlants and ThaleMine (an Arabidopsis-specific instance of InterMine). The BAR was designated a Global Core Biodata Resource in 2023. Like other GCBRs, the BAR has excellent operational stability, provides access without login requirement, and provides an API for researchers to be able to access BAR data programmatically. We present in this update a new overarching search tool called Gaia that permits easy access to all BAR data, powered by machine learning and artificial intelligence.

Nucleic Acids ResearchVol. 53(D1)
University of Toronto (CA), Ontario Tech University (CA)
Genome Canada, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 16%
Plant Pathogens and Resistance
1.20
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