BioCompute Portal: http://biocomputeobject.org
GitHub Organization for BioCompute Object Repositories: https://github.com/biocompute-objects/
The U.S. Food and Drug Administration (FDA) and George Washington University (GW) have partnered to establish a framework for community-based standards development and harmonization of HTS computations and data formats. Standardized HTS data processing and data formats will promote interoperability and simplify the verification of bioinformatics protocols. To do this, a schema has been developed to represent instances of computational analysis as a BCO. A BCO includes:
- Information about parameters and versions of the executable programs in a pipeline
- Reference to input and output test data for verification of the pipeline
- A usability domain
- Keywords
- A list of agents involved along with other important metadata, such as their specific contribution
Knowledge of input data is intended to be captured according to existing efforts, including MIRAGE, MIAPE, and STRENDA, and to be in accordance with Minimum Information Standards. In addition to all the information captured in the BCO, the BCO itself must be independent of the execution environment, whether it is a local high-performance or a cloud-based infrastructure. To facilitate a means for different stakeholders in the HTS communities to provide input on the BioCompute standard we follow the Open-Stand.org principles for collaborative open standards development.
Functional examples of a BCO with associated input and output files, and including the optional empirical error domain:
- UVP-BCO Other BCO Examples:
- HCV1a
- HIVE_metagenomics
- glycosylation-sites-UniCarbKB.json
The BioCompute Objects user guide provides an introduction to implementing/writing a BCO for a pipeline and/or a workflow, and is adapted from the IEEE Standard for Bioinformatics Analyses Generated by High-Throughput Sequencing (HTS) to Facilitate Communication.
This repository hosts the content used to generate the BioCompute Documentation site at https://docs.biocomputeobject.org/
For developers and advanced users, the BCO specification id derived from IEEE-2791-2020 provides authoritative documentation on the construction of BioCompute Objects using JSON schema.
To reference the BioCompute Objects, please use the following citations inclusive of the DOI:
Simonyan, V., Goecks, J., & Mazumder, R. (2017). Biocompute Objects — A Step towards Evaluation and Validation of Biomedical Scientific Computations. PDA Journal of Pharmaceutical Science and Technology, 71(2), 136–146. doi: 10.5731/pdajpst.2016.006734
Alterovitz G, Dean D A, Goble C, Crusoe M R, Soiland-Reyes S, Bell A, Hayes A, King, C H S, Taylor D, Johanson E, Thompson E E, Donaldson E, Morizono H, Tsang H S, Goecks J, Yao J, Almeida J S, Krampis K, Guo L, Walderhaug M, Walsh P, Kahsay R, Gottipati S, Bloom T, Lai Y, Simonyan V, Mazumder R. Enabling Precision Medicine via standard communication of HTS provenance, analysis, and results. PLOS Biology; 16(12): e3000099.2018. https://doi.org/10.1371/journal.pbio.3000099
Patel JA, Dean DA, King CH, Xiao N, Koc S, Minina E, Golikov A, Brooks P, Kahsay R, Navelkar R, Ray M, Roberson D, Armstrong C, Mazumder R, Keeney J. Bioinformatics tools developed to support BioCompute Objects. Database (Oxford).2021 March 31; PMID: 33784373).
To suggest changes to this repository, we welcome contributions as a pull request or issue submission.
BCO_Specification is licensed under the BSD 3-Clause "New" or "Revised" License
A permissive license similar to the BSD 2-Clause License, but with a 3rd clause that prohibits others from using the name of the project or its contributors to promote derived products without written consent.
- Hugo Installation: run command
brew install hugo(https://gohugo.io/installation/) - Clone/copy git repository to local
- Open file of interest with VCS
- Under Terminal, run
hugo server - Make modifications to the script and go to localhost:1313/ to reflect changes