Content deleted Content added
→Education platforms: replace shoutout of single uni with leader sentence about education platforms more broadly |
→Education platforms: + ref |
||
Line 259:
==Education platforms==
As well as in-person [[Master's degree|Masters degree]] courses being taught at many universities, the computational nature of bioinformtics 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 |url=https://www.lifescied.org/doi/10.1187/cbe.03-02-0007 |journal=Cell Biology Education |volume=2 |issue=2 |pages=98–111 |doi=10.1187/cbe.03-02-0007 |pmc=PMC162192 |pmid=12888845}}</ref><ref>{{Cite journal |last=Arenas |first=Miguel |date=2021-09 |title=General considerations for online teaching practices in bioinformatics in the time of COVID ‐19 |url=https://onlinelibrary.wiley.com/doi/10.1002/bmb.21558 |journal=Biochemistry and Molecular Biology Education |language=en |volume=49 |issue=5 |pages=683–684 |doi=10.1002/bmb.21558 |issn=1470-8175 |pmc=PMC8426940 |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 = 14 | pages = 243 | 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 | display-authors = 6 |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 |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> 4273π 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>
[[Massive open online course|MOOC]] platforms also provide online certifications in bioinformatics and related disciplines, including [[Coursera]]'s Bioinformatics Specialization ([[University of California, San Diego|UC San Diego]]) and Genomic Data Science Specialization ([[Johns Hopkins University|Johns Hopkins]]) as well as [[EdX]]'s Data Analysis for Life Sciences XSeries ([[Harvard University|Harvard]]).
| |||