Bio-Analytic Resource

Bio-Analytic Resource The Bio-Analytic Resource at http://BAR.utoronto.ca provides user-friendly tools for exploring large

The Bio-Analytic Resource at http://BAR.utoronto.ca provides user-friendly tools for exploring large-scale data sets from plants. These data sets include gene expression, protein-protein interactions, and subcellular localization.

Check out the BAR's Single Cell Data Portal at https://bar.utoronto.ca/single_cell_data_portal/, in beta! There's a cura...
09/24/2026

Check out the BAR's Single Cell Data Portal at https://bar.utoronto.ca/single_cell_data_portal/, in beta! There's a curated list of scRNA-seq datasets with viewer links, our own CellxGene instance for exploring 14 datasets from 6 papers, and a new tool, SUPeR Viewer! Thanks to PCA and C-SPIRIT for input.

SUPeR Viewer stands for scRNA-seq UMAP/pseudospatial eFP Browser Viewer, and it shows not only scRNA-seq UMAPs but eFP pictographs showing expresssion across inferred cell types in a pseudospatial manner, inspired by collaborators Victoria Mironova and Jian Xu's Root Cell Atlas at Raboud University.

And many thanks to Steven Qiao, Vincent Lau, and Asher Pasha from the BAR for implementing this. Stay tuned for a make-your-own SUPeR Viewer hackathon towards the end of the year!

We are happy to announce our Maize Lipid eFP Browser, displaying 149 lipids from the Zea Lip effort from collaborators  ...
08/06/2026

We are happy to announce our Maize Lipid eFP Browser, displaying 149 lipids from the Zea Lip effort from collaborators Rubén Rellán-Álvarez and Allison Barnes at NCSU and others! See eFP images of lipid concentrations in different leaves and different parts of the leaves of 3 maize genotypes. This was the work of a talented undergraduate Bioinformatics and Computational Biology student in my lab last year, Eric Jadidzadeh. Preprint here: https://www.biorxiv.org/content/10.64898/2026.05.07.723536v2 and Maize Lipid eFP Browser here: https://bar.utoronto.ca/~dev/efp_maize_lipid/cgi-bin/efpWeb.cgi

03/09/2026

PlantGraph from the Mao Lab in Sweden is a new AI assistant for Arabidopsis. You can ask any complex question in natural language and will get deep, multi-hop, fully traceable answers with a claimed zero percent hallucination rate. Try it at: plantgraph.se. Send feedback to [email protected]!

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02/10/2026

The 36th International Conference on Arabidopsis Research 2026 webpage is now live and registration is open (icar2026.sg). The conference is from 22-26 June. Oral abstract submission deadline is February 22nd!

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