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# Output directory containing the formatted manuscript
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The [`gh-pages`](https://github.com/plantbreeding/BrAPI-Manuscript2/tree/gh-pages) branch hosts the contents of this directory at <https://plantbreeding.github.io/BrAPI-Manuscript2/>.
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The permalink for this webpage version is <https://plantbreeding.github.io/BrAPI-Manuscript2/v/45876e02e263d44f4af9d1b29b1149de863f5c41/>.
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The permalink for this webpage version is <https://plantbreeding.github.io/BrAPI-Manuscript2/v/0de0c7a9d5b560aeafe6b37bdc9e09ac30999437/>.
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To redirect to the permalink for the latest manuscript version at anytime, use the link <https://plantbreeding.github.io/BrAPI-Manuscript2/v/freeze/>.
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## Files
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from <ahref="https://github.com/plantbreeding/BrAPI-Manuscript2/tree/45876e02e263d44f4af9d1b29b1149de863f5c41">plantbreeding/BrAPI-Manuscript2@45876e0</a>
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on April 16, 2025.
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from <ahref="https://github.com/plantbreeding/BrAPI-Manuscript2/tree/0de0c7a9d5b560aeafe6b37bdc9e09ac30999437">plantbreeding/BrAPI-Manuscript2@0de0c7a</a>
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<p>The <ahref="https://github.com/elixir-europe/plant-brapi-to-isa">BrAPI2ISA</a> service functions as a converter between a BrAPI-compatible server and the ISA-Tab format. The tool simplifies, automates, and facilitates the archiving of data, thereby enhancing data preservation and accessibility. The BrAPI2ISA tool is compatible with BrAPI 1.3 and welcomes community contributions to support the latest versions of BrAPI.</p>
<p>Using the <ahref="https://zendro-dev.github.io">Zendro</a> set of automatic software code generators, a fully functional, efficient, and cloud-capable BrAPI data-warehouse has been created for the current version of the BrAPI data models. Unlike most BrAPI-compliant data sources, this data-warehouse supports a GraphQL API rather than a RESTful API. This API provides secure access to data read and write functions for all BrAPI data models. It provides create, read, update, and delete (CRUD) functions that are standardized and accept the same parameters for all data models. Zendro supports a large number of underlying database systems, allowing flexibility during installation and integration.</p>
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<p>The GraphQL server is particularly rich in features. Logical filters allow for exhaustive search queries, whose structure is highly intuitive and based around logical triplets. Such triplets consists of a BrAPI model property, a logical operator, and a value, e.g. “Study-name equals ‘Nursery Study’”. A large collection of operators is available and triplets can be combined to logical search trees using “and” or “or” operators. Searches can be extended over relationships between data models, thus enabling a user to query the warehouse for exactly the required data. Authorization is based on user roles and can be configured differently for each single data model read or write function. The generated graphical interface allows for the integration of interactive scientific plots and analysis tools written in JavaScript or WebAssembly.</p>
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<p>Using the <ahref="https://zendro-dev.github.io">Zendro</a> set of automatic software code generators, a fully functional, efficient, and cloud-capable BrAPI data-warehouse has been created for the current version of the BrAPI data models. Unlike most BrAPI-compliant data sources, this data-warehouse supports a GraphQL API rather than a RESTful API. This API provides secure access to data read and write functions for all BrAPI data models. It provides create, read, update, and delete (CRUD) functions that are standardized and accept the same parameters for all data models. Zendro supports a large number of underlying database systems, allowing flexibility during installation and integration. Thus, the data warehouse created with Zendro offers similar functionalities through its GraphQL API that BrAPI offers. More specifically, this includes secure access to create, read, update, and delete (CRUD) operations standardized across all BrAPI data models.</p>
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<p>The warehouse includes a GraphQL server which is particularly rich in features. Logical filters allow for exhaustive search queries, whose structure is highly intuitive and based around logical triplets. Such triplets consists of a BrAPI model property, a logical operator, and a value, e.g. “Study-name equals ‘Nursery Study’”. A large collection of operators is available and triplets can be combined to logical search trees using “and” or “or” operators. Searches can be extended over relationships between data models, thus enabling a user to query the warehouse for exactly the required data. Authorization is based on user roles and can be configured differently for each single data model read or write function. The generated graphical interface allows for the integration of interactive scientific plots and analysis tools written in JavaScript or WebAssembly.</p>
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<!-- Asis Hallab: To Do: (i) provide the link to an example running data warehouse, and (ii) include and describe example scientific plots. -->
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<p>An <ahref="https://brapi-gui.zendro-dev.org">example data warehouse</a> is publicly available and offers full read access in the graphical user interface and through the GraphQL API. The example warehouse is populated with public <ahref="https://www.cassavabase.org/">CassavaBase</a> data <spanclass="citation" data-cites="STn93hbH">(<ahref="#ref-STn93hbH" role="doc-biblioref">53</a>)</span> to create fully BrAPI-compliant example based on Zendro. Three interactive scientific example plots are available to explore the data. The first is a boxplot comparing Cassava harvest indices measured for four different experiments. Next, an interactive raincloud plot provides an alternative visualization of the same data. Finally, a scatterplot shows how Cassava fresh root yield and plant height are correlated based on data from a single study.</p>
<divclass="csl-left-margin">8. </div><divclass="csl-right-inline">Neveu, P., Tireau, A., Hilgert, N., et al. (2018) <ahref="https://doi.org/10.1111/nph.15385">Dealing with multi‐source and multi‐scale information in plant phenomics: the ontology‐driven Phenotyping Hybrid Information System</a>. <em>New Phytologist</em>, <strong>221</strong>, 588–601.</div>
<divclass="csl-left-margin">10. </div><divclass="csl-right-inline">Papoutsoglou, E.A., Faria, D., Arend, D., et al. (2020) <ahref="https://doi.org/10.1111/nph.16544">Enabling reusability of plant phenomic datasets with MIAPPE 1.1</a>. <em>New Phytologist</em>, <strong>227</strong>, 260–273.</div>
<divclass="csl-left-margin">13. </div><divclass="csl-right-inline">Morales, N., Ogbonna, A.C., Ellerbrock, B.J., et al. (2022) <ahref="https://doi.org/10.1093/g3journal/jkac078">Breedbase: a digital ecosystem for modern plant breeding</a>. <em>G3 Genes|Genomes|Genetics</em>, <strong>12</strong>.</div>
<divclass="csl-left-margin">25. </div><divclass="csl-right-inline"><ahref="https://doi.org/10.4060/cd4711en">The Third Report on The State of the World’s Plant Genetic Resources for Food and Agriculture</a> (2025)<strong>(2025) </strong>.</div>
<divclass="csl-left-margin">26. </div><divclass="csl-right-inline">Global Information System <ahref="https://glis.fao.org/glis/">https://glis.fao.org/glis/</a> (accessed Apr 16, 2025).</div>
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<divclass="csl-left-margin">26. </div><divclass="csl-right-inline">Global Information System <ahref="https://glis.fao.org/glis/">https://glis.fao.org/glis/</a> (accessed Apr 17, 2025).</div>
<divclass="csl-left-margin">27. </div><divclass="csl-right-inline">Wilkinson, M.D., Dumontier, M., Aalbersberg, Ij.J., et al. (2016) <ahref="https://doi.org/10.1038/sdata.2016.18">The FAIR Guiding Principles for scientific data management and stewardship</a>. <em>Sci Data</em>, <strong>3</strong>.</div>
<divclass="csl-left-margin">42. </div><divclass="csl-right-inline">Yu, J., Jung, S., Cheng, C.-H., et al. (2021) <ahref="https://doi.org/10.3390/plants10122805">CottonGen: The Community Database for Cotton Genomics, Genetics, and Breeding Research</a>. <em>Plants</em>, <strong>10</strong>, 2805.</div>
<divclass="csl-left-margin">44. </div><divclass="csl-right-inline">Morales, N., Bauchet, G.J., Tantikanjana, T., et al. (2020) <ahref="https://doi.org/10.1371/journal.pone.0240059">High density genotype storage for plant breeding in the Chado schema of Breedbase</a>. <em>PLoS ONE</em>, <strong>15</strong>, e0240059.</div>
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