From 2afe9b485405236f56640f2fb300883843a1bb86 Mon Sep 17 00:00:00 2001 From: Peter Selby Date: Mon, 19 Aug 2024 09:50:45 -0400 Subject: [PATCH] MIRA url fix --- content/03.06.02.MIAPPE.md | 2 +- content/90.back-matter.md | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/content/03.06.02.MIAPPE.md b/content/03.06.02.MIAPPE.md index e1ed1089..69d24ab1 100644 --- a/content/03.06.02.MIAPPE.md +++ b/content/03.06.02.MIAPPE.md @@ -3,6 +3,6 @@ Since the release of BrAPI 1.3, efforts have been made to incorporate support for the [MIAPPE](https://www.miappe.org/) (Minimal Information About a Plant Phenotyping Experiment) [@doi:10.1111/nph.16544] standard into the specification, achieving full compatibility in BrAPI 2.0. Consequently, BrAPI now includes all attributes necessary for MIAPPE compliance, adhering to standardized descriptions in accordance with MIAPPE guidelines. In some communities and projects, phenotyping data and metadata are archived and published as structured ISA-Tab files, validated using the [MIAPPE ISA configuration](https://github.com/ELIXIR-Belgium/isatab-validation) [@doi:10.1038/ng.1054]. Although ISA-Tab is easy to read for non-technical experts due to its file-based approach, it lacks programmatic accessibility, particularly for web applications. -[MIRA](https://github.com/USDA-ARS-GBRU/SugarcaneCrossingTool) enables the automatic deployment of a BrAPI server on a MIAPPE-compliant dataset in ISA-Tab format, facilitating programmatic access to these datasets. It is deployable from a Docker image with the dataset mounted. The tool leverages the mapping between MIAPPE, ISA-Tab, and BrAPI, eliminating the need for parsing or manual mapping of datasets compliant with (meta-)data standards. By providing programmatic access through BrAPI, MIRA facilitates the integration of phenotyping datasets into web applications. +[MIRA](https://github.com/IPK-BIT/mira) enables the automatic deployment of a BrAPI server on a MIAPPE-compliant dataset in ISA-Tab format, facilitating programmatic access to these datasets. It is deployable from a Docker image with the dataset mounted. The tool leverages the mapping between MIAPPE, ISA-Tab, and BrAPI, eliminating the need for parsing or manual mapping of datasets compliant with (meta-)data standards. By providing programmatic access through BrAPI, MIRA facilitates the integration of phenotyping datasets into web applications. The [BrAPI2ISA](https://github.com/elixir-europe/plant-brapi-to-isa) 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. diff --git a/content/90.back-matter.md b/content/90.back-matter.md index 3485f855..5aff9844 100644 --- a/content/90.back-matter.md +++ b/content/90.back-matter.md @@ -23,6 +23,7 @@ The authors would like to acknowledge the following funding sources: + U.S. Department of Agriculture, under agreement numbers [8062-21000-043-004-A, 8062-21000-052-002-A, and 8062-21000-052-003-A] + This work was funded and supported by ELIXIR, the research infrastructure for life science data. + The French Networks of Biological Resource Centres for Agricultural, Environmental and Life Sciences, doi: 10.15454/b4ec-tf49 ++ The work was supported by the German Research Foundation DFG under the grant agreement number 442032008 (NFDI4Biodiversity). NFDI4Biodiversity is part of NFDI, the National Research Data Infrastructure in Germany (). + The Bill and Malinda Gates Foundation in cooperation with the Excellence in Breeding Platform of the CGIAR ## Author Contributions {.page_break_before}