37 lines
4.0 KiB
Markdown
37 lines
4.0 KiB
Markdown
---
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title: "Bioinformatics"
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chunk: 6/6
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source: "https://en.wikipedia.org/wiki/Bioinformatics"
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category: "reference"
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tags: "science, encyclopedia"
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date_saved: "2026-05-05T14:00:39.573858+00:00"
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instance: "kb-cron"
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---
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provide an easy-to-use environment for individual application scientists themselves to create their own workflows,
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provide interactive tools for the scientists enabling them to execute their workflows and view their results in real-time,
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simplify the process of sharing and reusing workflows between the scientists, and
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enable scientists to track the provenance of the workflow execution results and the workflow creation steps.
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Some of the platforms giving this service: Galaxy, Kepler, Taverna, UGENE, Anduril, HIVE.
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=== BioCompute and BioCompute Objects ===
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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. Over the next three years, a consortium of stakeholders met regularly to discuss what would become BioCompute paradigm. 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.
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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.
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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.
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== Education platforms ==
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While bioinformatics is taught as an in-person master's degree at many universities, there are many other methods and technologies available to learn and obtain certification in the subject. The computational nature of bioinformatics lends it to computer-aided and online learning. Software platforms designed to teach bioinformatics concepts and methods include Rosalind and online courses offered through the Swiss Institute of Bioinformatics Training Portal. The Canadian Bioinformatics Workshops provides videos and slides from training workshops on their website under a Creative Commons license. The 4273π project or 4273pi project also offers open source educational materials for free. The course runs on low cost Raspberry Pi computers and has been used to teach adults and school pupils. 4273 is actively developed by a consortium of academics and research staff who have run research level bioinformatics using Raspberry Pi computers and the 4273π operating system.
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MOOC platforms also provide online certifications in bioinformatics and related disciplines, including Coursera's Bioinformatics Specialization at the University of California, San Diego, Genomic Data Science Specialization at Johns Hopkins University, and EdX's Data Analysis for Life Sciences XSeries at Harvard University.
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== Conferences ==
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There are several large conferences that are concerned with bioinformatics. Some of the most notable examples are European Conference on Computational Biology (ECCB), Intelligent Systems for Molecular Biology (ISMB), Pacific Symposium on Biocomputing (PSB), and Research in Computational Molecular Biology (RECOMB).
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== See also ==
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== References ==
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== Further reading ==
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== External links ==
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Bioinformatics Resource Portal (SIB) |