Bioinformatics is not only taught as in-person [[mastersmaster's degree]] at many universities. The computational nature of bioinformatics lends it to [[Educational technology|computer-aided and online learning]].<ref>{{Cite journal |last=Campbell |first=A. Malcolm |date=2003-06-01 |title=Public Access for Teaching Genomics, Proteomics, and Bioinformatics |journal=Cell Biology Education |volume=2 |issue=2 |pages=98–111 |doi=10.1187/cbe.03-02-0007 |pmc=162192 |pmid=12888845}}</ref><ref>{{Cite journal |last=Arenas |first=Miguel |date=September 2021 |title=General considerations for online teaching practices in bioinformatics in the time of COVID -19 |journal=Biochemistry and Molecular Biology Education |language=en |volume=49 |issue=5 |pages=683–684 |doi=10.1002/bmb.21558 |issn=1470-8175 |pmc=8426940 |pmid=34231941}}</ref> Software platforms designed to teach bioinformatics concepts and methods include [[Rosalind (education platform)|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<ref>{{cite journal | vauthors = Barker D, Ferrier DE, Holland PW, Mitchell JB, Plaisier H, Ritchie MG, Smart SD | title = 4273π: bioinformatics education on low cost ARM hardware | journal = BMC Bioinformatics | volume = 13 | pages = 522 | date = August 2013 | pmid = 23937194 | pmc = 3751261 | doi = 10.1186/1471-2105-14-243 | doi-access = free }}</ref> 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.<ref>{{cite journal | vauthors = Barker D, Alderson RG, McDonagh JL, Plaisier H, Comrie MM, Duncan L, Muirhead GT, Sweeney SD |title=University-level practical activities in bioinformatics benefit voluntary groups of pupils in the last 2 years of school |journal=International Journal of STEM Education |date=2015 |volume=2 |issue=17 |doi=10.1186/s40594-015-0030-z | s2cid = 256396656 |hdl=10023/7704 |hdl-access=free | doi-access = free }}</ref><ref>{{cite journal | vauthors = McDonagh JL, Barker D, Alderson RG | title = Bringing computational science to the public | journal = SpringerPlus | volume = 5 | issue = 259 | pages = 259 | date = 2016 | pmid = 27006868 | pmc = 4775721 | doi = 10.1186/s40064-016-1856-7 | doi-access = free }}</ref> 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.<ref>{{cite journal | vauthors = Robson JF, Barker D | title = Comparison of the protein-coding gene content of Chlamydia trachomatis and Protochlamydia amoebophila using a Raspberry Pi computer | journal = BMC Research Notes | volume = 8 | issue = 561 | pages = 561 | date = October 2015 | pmid = 26462790 | pmc = 4604092 | doi = 10.1186/s13104-015-1476-2 | doi-access = free }}</ref><ref>{{cite journal | vauthors = Wreggelsworth KM, Barker D | title = A comparison of the protein-coding genomes of two green sulphur bacteria, Chlorobium tepidum TLS and Pelodictyon phaeoclathratiforme BU-1 | journal = BMC Research Notes | volume = 8 | issue = 565 | pages = 565 | date = October 2015 | pmid = 26467441 | pmc = 4606965 | doi = 10.1186/s13104-015-1535-8 | doi-access = free }}</ref>
[[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]].
