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== Implementations ==
The simple R package biocompute<ref name="biocompute-r">{{cite web|url=https://cran.r-project.org/package=biocompute|title=CRAN - Package biocompute|publisher=cran.r-project.org|accessdate=2019-11-28}}</ref> can create, validate, and export BioCompute Objects. The [https://github.com/sbg/gcs Genomics Compliance Suite] is a Shiny app that offers similar features to regular expressions found in all modern text editors. There are several internally developed [[Open-source software|open source]] software packages and web applications that implement the BioCompute specification, three of which have been deployed in a publicly accessible [[Amazon_Web_Services|AWS]] [[Amazon_Elastic_Compute_Cloud|EC2]] [[Cloud_computing|cloud]]. These include an instance of the [[High-performance Integrated Virtual Environment]], the [https://github.com/biocompute-objects/bco_editor BioCompute Portal]<ref name="bco_editor">{{cite web|url=https://github.com/biocompute-objects/bco_editor|title=BioCompute Portal|publisher=github.com/biocompute-objects|accessdate=2020-06-25}}</ref> (a form-based web application that can create and edit BioCompute Objects based on the IEEE-2791-2020 [[Open_standard|standard]], and a BioCompute compliant instance of [[Galaxy_(computational_biology)|Galaxy]].
== Integration with Other Platforms ==
BioCompute seamlessly integrates into various bioinformatics platforms, all of which let a user automatically create a BCO from a workflow and edit the descriptive content. DNAnexus facilitates the effortless generation of BioCompute Objects (BCOs) by importing workflows and metadata, allowing users to efficiently edit descriptive content. The platform supports metadata import, export of WDL and CWL scripts, and offers the BCOnexus tool, ensuring a platform-free approach with a graphical user interface. Velsera further contributes by enabling direct pre-population of BCO fields from workflows. BioCompute also smoothly integrates with Seven Bridges, HIVE, and Galaxy, empowering users to automatically generate BCOs and edit content within these platforms. The platform's flexible data loading, ___domain exploration, and the ability to merge BCOs support efficient data handling and collaboration. In the Playbook Partnership, BioCompute aids traceability through the network, allowing users to save queries and annotate them for future use, sharing, or repeatability, aligning with its role in advancing bioinformatics practices.
== References ==
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