Developing educational resources for population genetics in R: an open and collaborative approach. (12th July 2016)
- Record Type:
- Journal Article
- Title:
- Developing educational resources for population genetics in R: an open and collaborative approach. (12th July 2016)
- Main Title:
- Developing educational resources for population genetics in R: an open and collaborative approach
- Authors:
- Kamvar, Zhian N.
López‐Uribe, Margarita M.
Coughlan, Simone
Grünwald, Niklaus J.
Lapp, Hilmar
Manel, Stéphanie - Abstract:
- Abstract: Ther computing and statistical language community has developed a myriad of resources for conducting population genetic analyses. However, resources for learning how to carry out population genetic analyses inr are scattered and often incomplete, which can make acquiring this skill unnecessarily difficult and time consuming. To address this gap, we developed an online community resource with guidance and working demonstrations for conducting population genetic analyses inr . The resource is freely available athttp://popgen.nescent.org and includes material for both novices and advanced users ofr for population genetics. To facilitate continued maintenance and growth of this resource, we developed a toolchain, process and conventions designed to (i) minimize financial and labour costs of upkeep; (ii) to provide a low barrier to contribution; and (iii) to ensure strong quality assurance. The toolchain includes automatic integration testing of every change and rebuilding of the website when new vignettes or edits are accepted. The process and conventions largely follow a common, distributed version control‐based contribution workflow, which is used to provide and manage open peer review by designated website editors. The online resources include detailed documentation of this process, including video tutorials. We invite the community of population geneticists working inr to contribute to this resource, whether for a new use case of their own, or as one of theAbstract: Ther computing and statistical language community has developed a myriad of resources for conducting population genetic analyses. However, resources for learning how to carry out population genetic analyses inr are scattered and often incomplete, which can make acquiring this skill unnecessarily difficult and time consuming. To address this gap, we developed an online community resource with guidance and working demonstrations for conducting population genetic analyses inr . The resource is freely available athttp://popgen.nescent.org and includes material for both novices and advanced users ofr for population genetics. To facilitate continued maintenance and growth of this resource, we developed a toolchain, process and conventions designed to (i) minimize financial and labour costs of upkeep; (ii) to provide a low barrier to contribution; and (iii) to ensure strong quality assurance. The toolchain includes automatic integration testing of every change and rebuilding of the website when new vignettes or edits are accepted. The process and conventions largely follow a common, distributed version control‐based contribution workflow, which is used to provide and manage open peer review by designated website editors. The online resources include detailed documentation of this process, including video tutorials. We invite the community of population geneticists working inr to contribute to this resource, whether for a new use case of their own, or as one of the vignettes from the 'wish list' we maintain, or by improving existing vignettes. … (more)
- Is Part Of:
- Molecular ecology resources. Volume 17:Number 1(2017:Jan.)
- Journal:
- Molecular ecology resources
- Issue:
- Volume 17:Number 1(2017:Jan.)
- Issue Display:
- Volume 17, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 17
- Issue:
- 1
- Issue Sort Value:
- 2017-0017-0001-0000
- Page Start:
- 120
- Page End:
- 128
- Publication Date:
- 2016-07-12
- Subjects:
- git -- GitHub -- online resources -- open access -- open education -- population genetics
Molecular ecology -- Periodicals
572.8 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1755-0998 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/1755-0998.12558 ↗
- Languages:
- English
- ISSNs:
- 1755-098X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5900.817368
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 109.xml