Editing Bioinformatics (section)

=== BioCompute and BioCompute Objects ===
In 2014, the [[US Food and Drug Administration]] sponsored a conference held at the [[National Institutes of Health]] Bethesda Campus to discuss reproducibility in bioinformatics.<ref>{{Cite web|url=https://www.fda.gov/ScienceResearch/SpecialTopics/RegulatoryScience/ucm389561.htm|title=Advancing Regulatory Science – Sept. 24–25, 2014 Public Workshop: Next Generation Sequencing Standards|author=Office of the Commissioner|website=www.fda.gov|language=en|access-date=2017-11-30|archive-date=14 November 2017|archive-url=https://web.archive.org/web/20171114200347/https://www.fda.gov/ScienceResearch/SpecialTopics/RegulatoryScience/ucm389561.htm|url-status=dead}}</ref> Over the next three years, a consortium of stakeholders met regularly to discuss what would become BioCompute paradigm.<ref>{{cite journal | vauthors = Simonyan V, Goecks J, Mazumder R | title = Biocompute Objects-A Step towards Evaluation and Validation of Biomedical Scientific Computations | journal = PDA Journal of Pharmaceutical Science and Technology | volume = 71 | issue = 2 | pages = 136–146 | date = 2017 | pmid = 27974626 | pmc = 5510742 | doi = 10.5731/pdajpst.2016.006734 }}</ref> These stakeholders included representatives from government, industry, and academic entities. Session leaders represented numerous branches of the FDA and NIH Institutes and Centers, non-profit entities including the [[Human Variome Project]] and the [[European Federation for Medical Informatics]], and research institutions including [[Stanford]], the [[New York Genome Center]], and the [[George Washington University]].

It was decided that the BioCompute paradigm would be in the form of digital 'lab notebooks' which allow for the reproducibility, replication, review, and reuse, of bioinformatics protocols. This was proposed to enable greater continuity within a research group over the course of normal personnel flux while furthering the exchange of ideas between groups. The US FDA funded this work so that information on pipelines would be more transparent and accessible to their regulatory staff.<ref>{{Cite web|url=https://www.fda.gov/ScienceResearch/SpecialTopics/RegulatoryScience/ucm491893.htm|title=Advancing Regulatory Science – Community-based development of HTS standards for validating data and computation and encouraging interoperability|author=Office of the Commissioner|website=www.fda.gov|language=en|access-date=2017-11-30|archive-date=26 January 2018|archive-url=https://web.archive.org/web/20180126133504/https://www.fda.gov/ScienceResearch/SpecialTopics/RegulatoryScience/ucm491893.htm|url-status=dead}}</ref>

In 2016, the group reconvened at the NIH in Bethesda and discussed the potential for a [[BioCompute Object]], an instance of the BioCompute paradigm. This work was copied as both a "standard trial use" document and a preprint paper uploaded to bioRxiv. The BioCompute object allows for the JSON-ized record to be shared among employees, collaborators, and regulators.<ref>{{cite journal | vauthors = Alterovitz G, Dean D, Goble C, Crusoe MR, Soiland-Reyes S, Bell A, Hayes A, Suresh A, Purkayastha A, King CH, Taylor D, Johanson E, Thompson EE, Donaldson E, Morizono H, Tsang H, Vora JK, Goecks J, Yao J, Almeida JS, Keeney J, Addepalli K, Krampis K, Smith KM, Guo L, Walderhaug M, Schito M, Ezewudo M, Guimera N, Walsh P, Kahsay R, Gottipati S, Rodwell TC, Bloom T, Lai Y, Simonyan V, Mazumder R | title = Enabling precision medicine via standard communication of HTS provenance, analysis, and results | journal = PLOS Biology | volume = 16 | issue = 12 | pages = e3000099 | date = December 2018 | pmid = 30596645 | doi = 10.1371/journal.pbio.3000099 | pmc = 6338479 | doi-access = free }}</ref><ref>{{Citation|title=BioCompute Object (BCO) project is a collaborative and community-driven framework to standardize HTS computational data. 1. BCO Specification Document: user manual for understanding and creating B.|date=2017-09-03|url=https://github.com/biocompute-objects/HTS-CSRS|publisher=biocompute-objects|access-date=30 November 2017|archive-date=27 June 2018|archive-url=https://web.archive.org/web/20180627081221/https://github.com/biocompute-objects/HTS-CSRS|url-status=live}}</ref>