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A BioCompute Object (BCO) is an instance of the BioCompute standard and is a computational record of a bioinformatics pipeline. A BCO is not an analysis but is a record of which analyses were executed and in exactly which ways. In this way, a BCO acts as an interface for existing standards. A BCO contains all of the necessary information to repeat an entire pipeline from FASTQ to result and includes additional metadata to identify provenance and usage. | |||
Read more: | |||
*[[About|What is BioCompute?]] | |||
*[[About|Wifi Analogy]] | |||
*[[About|BioCompute Description]] | |||
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Revision as of 17:41, 8 August 2022
News
2022-09-13
- BioCompute Workshop: New Tools for Building BioCompute Objects on DNAnexus, Seven Bridges, and Galaxy for deposit to the FDA's BioComputeDB
2022-01-12
More News and Events can be found here
General Information
The BioCompute Standard
Because of the many different ways to organize data, a major goal of the BioCompute project is to build and maintain a formal standard through recognized, accredited standards-setting organizations like the Institute for Electrical and Electronics Engineers (IEEE) and the International Standards Organization (ISO). A formal, consensus-based standard builds predictability and even more stability into the way in which bioinformatic methods are communicated.
The standard, officially known as 2791-2020, has two parts: the standards document and the schema, which is maintained in an open source repository:
- The current version of the standard can be found [here](https://standards.ieee.org/standard/2791-2020.html)**.
- The schema can be found [here](https://opensource.ieee.org/2791-object/ieee-2791-schema)**.
Since the base BioCompute schema is maintained as an open source repository, it can be cloned and integrated into an organization in unique ways, which allows organizations to build off of this schema to create dependent standards for specific applications. This is similar to the different versions of WiFi based on usage, such as the 802.11a standard for fast speed, but high cost and shorter range, or the 802.11b for slower top speed, but lower cost, etc. --- all of which are built on the 802.11 base standard. It can also be used to further extend the schema, such as for handling proprietary, internal content, while still being compatible with the base standard. The open source schema also enables individuals or organizations to suggest changes to be incorporated into future versions the standard.
Citation
This standard was originaly prepared by [The BioCompute Object working group](/BCO_Spec_V1.2.md#biocompute-object-consortium-members-bcoc) during preparation for the [2017 HTS Computational Standards for Regulatory Sciences Workshop](https://hive.biochemistry.gwu.edu/htscsrs/workshop_2017).
To reference the BCO standards, please use the following citation 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](http://doi.org/10.5731/pdajpst.2016.006734)
Support, Community and Contributing
To suggest changes to [this repository](https://github.com/biocompute-objects/BCO_Specification) we welcome contributions as a [pull request](https://github.com/biocompute-objects/BCO_Specification/pulls) or [issue](https://github.com/biocompute-objects/BCO_Specification/issues) submission.
BCO_Specification is licensed under the [BSD 3-Clause "New" or "Revised" License](https://github.com/biocompute-objects/BCO_Specification/blob/main/LICENSE.md)
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.
Mailing List
As a subscriber to the BCO mailing list, you can post to it by sending a message tobiocomputels@hermes.gwu.edu (using the email address that is subscribed). This list is semi-automated and will send your message for review.
To subscribe or unsubscribe, please visit https://hermes.gwu.edu/cgi-bin/wa?A0=BIOCOMPUTELS and click `Subscribe` or `Unsubscribe` on the lower right. You can also unsubscribe from the list at any time by sending an email to listserv@hermes.gwu.edu, in which the body says: `unsubscribe biocomputes`
This repository is in support of [2791-2020](https://standards.ieee.org/standard/2791-2020.html) - IEEE Approved Draft Standard for Bioinformatics Computations and Analyses Generated by High-Throughput Sequencing (HTS) to Facilitate Communication. Please also see our [OSF page](https://osf.io/h59uh/) or our [main page](https://biocomputeobject.org/)
BioCompute Object (BCO) User Guide
This document specifies the structure of BioCompute Objects. The specification is split into multiple parts linked to this top-level document and is maintained in a GitHub repository where contributions are welcome. This document was created by the BioCompute Object Consortium members (BCOC).
It is offered as support for IEEE-2791-2020: IEEE Standard for Bioinformatics Computations and Analyses Generated by High-Throughput Sequencing (HTS) to Facilitate Communication.
Read more: Introduction to BioCompute Objects
Frequently Asked Questions
The FAQ section contains a list of questions asked by users regarding using the portal, pipeline steps, and extensions as well as questions related to the prerequisite, knowledgebase recommendation, and saving and publishing BCOs.
Read more: Frequently Asked Questions
BCO Curation SOP
Intended audience: authors and developers
This section is intended to provide guidance on BCO™ creation, versioning, certification and authentication.
Read more: BCO Curation SOP
About
A BioCompute Object (BCO) is an instance of the BioCompute standard and is a computational record of a bioinformatics pipeline. A BCO is not an analysis but is a record of which analyses were executed and in exactly which ways. In this way, a BCO acts as an interface for existing standards. A BCO contains all of the necessary information to repeat an entire pipeline from FASTQ to result and includes additional metadata to identify provenance and usage.
Read more: