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| 1 | +cff-version: 1.2.0 |
| 2 | +title: ePlant Plant eFP |
| 3 | +message: >- |
| 4 | + A data visualization tool to display tissue expression data for Arabidopsis thaliana |
| 5 | +type: software |
| 6 | +authors: |
| 7 | + - given-names: Alexander |
| 8 | + family-names: Sullivan |
| 9 | + email: alexjsully.connect@outlook.com |
| 10 | + orcid: "https://orcid.org/0000-0002-4463-4473" |
| 11 | + - given-names: Michael N |
| 12 | + family-names: Lombardo |
| 13 | + - given-names: Asher |
| 14 | + family-names: Pasha |
| 15 | + orcid: "https://orcid.org/0000-0002-9315-0520" |
| 16 | + - given-names: Vincent |
| 17 | + family-names: Lau |
| 18 | + - given-names: Jian Yun |
| 19 | + family-names: Zhuang |
| 20 | + - given-names: Ashley |
| 21 | + family-names: Christendat |
| 22 | + - given-names: Bruno |
| 23 | + family-names: Pereira |
| 24 | + - given-names: Tianhui |
| 25 | + family-names: Zhao |
| 26 | + - given-names: Youyang |
| 27 | + family-names: Li |
| 28 | + - given-names: Rachel |
| 29 | + family-names: Wong |
| 30 | + - given-names: Faisal Z |
| 31 | + family-names: Qureshi |
| 32 | + affiliation: University of Ontario Institute of Technology |
| 33 | + - given-names: Nicholas J. |
| 34 | + family-names: Provart |
| 35 | + orcid: "https://orcid.org/0000-0001-5551-7232" |
| 36 | + email: nicholas.provart@utoronto.ca |
| 37 | + affiliation: University of Toronto |
| 38 | +identifiers: |
| 39 | + - type: doi |
| 40 | + value: 10.1093/nar/gkae920 |
| 41 | +repository-code: "https://github.com/BioAnalyticResource/ePlant_Plant_eFP" |
| 42 | +url: "https://bar.utoronto.ca/" |
| 43 | +abstract: >- |
| 44 | + The Bio-Analytic Resource for Plant Biology ('the BAR', at |
| 45 | + https://bar.utoronto.ca) is celebrating its 20th year in |
| 46 | + operation in 2025. The BAR encompasses and provides |
| 47 | + visualization tools for large 'omics data sets from |
| 48 | + plants. The BAR covers data from Arabidopsis, tomato, |
| 49 | + wheat, barley and 29 other plant species (with data for 2 |
| 50 | + others to be released soon). These data include nucleotide |
| 51 | + and protein sequence data, gene expression data, |
| 52 | + protein-protein and protein-DNA interactions, protein |
| 53 | + structures, subcellular localizations, and polymorphisms. |
| 54 | + The data are stored in more than 200 relational databases |
| 55 | + holding 186 GB of data and are presented to the |
| 56 | + researchers via web apps. These web apps provide data |
| 57 | + analysis and visualization tools. Some of the most popular |
| 58 | + tools are eFP ('electronic fluorescent pictograph') |
| 59 | + Browsers, ePlants and ThaleMine (an Arabidopsis-specific |
| 60 | + instance of InterMine). The BAR was designated a Global |
| 61 | + Core Biodata Resource in 2023. Like other GCBRs, the BAR |
| 62 | + has excellent operational stability, provides access |
| 63 | + without login requirement, and provides an API for |
| 64 | + researchers to be able to access BAR data |
| 65 | + programmatically. We present in this update a new |
| 66 | + overarching search tool called Gaia that permits easy |
| 67 | + access to all BAR data, powered by machine learning and |
| 68 | + artificial intelligence. |
| 69 | +keywords: |
| 70 | + - agriculture |
| 71 | + - bioinformatics |
| 72 | + - computational biology |
| 73 | + - data visualization |
| 74 | + - NLP |
| 75 | + - web application |
| 76 | +license: GPL-2.0 |
| 77 | +commit: a7056e48e4d90f48a053ab561be30f98ee5de7c4 |
| 78 | +version: 1.0.20 |
| 79 | +date-released: "2024-01-15" |
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