Computational biology and data-driven resources

We welcome manuscripts providing accessible and reusable large-scale data, computational biology or software resources of broad interest targeting one or more of the subject areas of Physiologia Plantarum.
Data resources can be at any level from the genome through to phenotype but must add new and novel value. Resource articles should highlight the value of the resource to the broad community and should contain a succinct summary of the biological aims and findings obtained from the resource.
However, resource articles can be descriptive and exploratory in nature. Raw and processed data or source code must be available.
To ease writing and reading, those articles follow a specific format. Please refer to “Resource article“.