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doi: 10.1093/bib/bbr064
pmid: 22110242
pmc: PMC3357490
handle: 10261/55595 , 2066/103909 , 11573/396042 , 11343/259364
doi: 10.1093/bib/bbr064
pmid: 22110242
pmc: PMC3357490
handle: 10261/55595 , 2066/103909 , 11573/396042 , 11343/259364
Funding bodies are increasingly recognizing the need to provide graduates and researchers with access to short intensive courses in a variety of disciplines, in order both to improve the general skills base and to provide solid foundations on which researchers may build their careers. In response to the development of 'high-throughput biology', the need for training in the field of bioinformatics, in particular, is seeing a resurgence: it has been defined as a key priority by many Institutions and research programmes and is now an important component of many grant proposals. Nevertheless, when it comes to planning and preparing to meet such training needs, tension arises between the reward structures that predominate in the scientific community which compel individuals to publish or perish, and the time that must be devoted to the design, delivery and maintenance of high-quality training materials. Conversely, there is much relevant teaching material and training expertise available worldwide that, were it properly organized, could be exploited by anyone who needs to provide training or needs to set up a new course. To do this, however, the materials would have to be centralized in a database and clearly tagged in relation to target audiences, learning objectives, etc. Ideally, they would also be peer reviewed, and easily and efficiently accessible for downloading. Here, we present the Bioinformatics Training Network (BTN), a new enterprise that has been initiated to address these needs and review it, respectively, to similar initiatives and collections.
Bioinformatics, Bioinformatics courses, Computational Biology, Community Networks, Research Personnel, Papers, NCMLS 4: Energy and redox metabolism, Training, Humans, Learning bioinformatics, training; bioinformatics courses; end users; bioinformatics; learning bioinformatics, end users
Bioinformatics, Bioinformatics courses, Computational Biology, Community Networks, Research Personnel, Papers, NCMLS 4: Energy and redox metabolism, Training, Humans, Learning bioinformatics, training; bioinformatics courses; end users; bioinformatics; learning bioinformatics, end users
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 21 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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