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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Barker | <div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Barker BMCBio2013 14.jpg|220px]]</div> | ||
'''"[[Journal: | '''"[[Journal:4273π: Bioinformatics education on low cost ARM hardware|4273π: Bioinformatics education on low cost ARM hardware]]"''' | ||
[[ | Teaching [[bioinformatics]] at universities is complicated by typical computer classroom settings. As well as running software locally and online, students should gain experience of systems administration. For a future career in biology or bioinformatics, the installation of software is a useful skill. We propose that this may be taught by running the course on GNU/Linux running on inexpensive Raspberry Pi computer hardware, for which students may be granted full administrator access. | ||
We release 4273''π'', an operating system image for Raspberry Pi based on Raspbian Linux. This includes minor customisations for classroom use and includes our Open Access bioinformatics course, ''4273π Bioinformatics for Biologists''. This is based on the final-year undergraduate module BL4273, run on Raspberry Pi computers at the University of St Andrews, Semester 1, academic year 2012–2013. 4273''π'' is a means to teach bioinformatics, including systems administration tasks, to undergraduates at low cost. ('''[[Journal:4273π: Bioinformatics education on low cost ARM hardware|Full article...]]''')<br /> | |||
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''Recently featured'': [[Journal:Support patient search on pathology reports with interactive online learning based data extraction|Support patient search on pathology reports with interactive online learning based data extraction]], [[Journal:Factors associated with adoption of health information technology: A conceptual model based on a systematic review|Factors associated with adoption of health information technology: A conceptual model based on a systematic review | ''Recently featured'': [[Journal:University-level practical activities in bioinformatics benefit voluntary groups of pupils in the last 2 years of school|University-level practical activities in bioinformatics benefit voluntary groups of pupils in the last 2 years of school]], [[Journal:Support patient search on pathology reports with interactive online learning based data extraction|Support patient search on pathology reports with interactive online learning based data extraction]], [[Journal:Factors associated with adoption of health information technology: A conceptual model based on a systematic review|Factors associated with adoption of health information technology: A conceptual model based on a systematic review]] |
Revision as of 16:51, 8 December 2015
"4273π: Bioinformatics education on low cost ARM hardware"
Teaching bioinformatics at universities is complicated by typical computer classroom settings. As well as running software locally and online, students should gain experience of systems administration. For a future career in biology or bioinformatics, the installation of software is a useful skill. We propose that this may be taught by running the course on GNU/Linux running on inexpensive Raspberry Pi computer hardware, for which students may be granted full administrator access.
We release 4273π, an operating system image for Raspberry Pi based on Raspbian Linux. This includes minor customisations for classroom use and includes our Open Access bioinformatics course, 4273π Bioinformatics for Biologists. This is based on the final-year undergraduate module BL4273, run on Raspberry Pi computers at the University of St Andrews, Semester 1, academic year 2012–2013. 4273π is a means to teach bioinformatics, including systems administration tasks, to undergraduates at low cost. (Full article...)
Recently featured: University-level practical activities in bioinformatics benefit voluntary groups of pupils in the last 2 years of school, Support patient search on pathology reports with interactive online learning based data extraction, Factors associated with adoption of health information technology: A conceptual model based on a systematic review