Difference between revisions of "Template:Article of the week"
Shawndouglas (talk | contribs) (Updated article of the week text.) |
Shawndouglas (talk | contribs) (Updated article of the week text.) |
||
Line 1: | Line 1: | ||
'''"[[Journal: | '''"[[Journal:Ten simple rules for developing usable software in computational biology|Ten simple rules for developing usable software in computational biology]]"''' | ||
The | The rise of high-throughput technologies in molecular biology has led to a massive amount of publicly available data. While computational method development has been a cornerstone of biomedical research for decades, the rapid technological progress in the wet [[laboratory]] makes it difficult for software development to keep pace. Wet lab scientists rely heavily on computational methods, especially since more research is now performed ''in silico''. However, suitable tools do not always exist, and not everyone has the skills to write complex software. Computational biologists are required to close this gap, but they often lack formal training in software engineering. To alleviate this, several related challenges have been previously addressed in the ''Ten Simple Rules'' series, including reproducibility, effectiveness, and open-source development of software. ('''[[Journal:Ten simple rules for developing usable software in computational biology|Full article...]]''')<br /> | ||
<br /> | <br /> | ||
''Recently featured'': | ''Recently featured'': | ||
: ▪ [[Journal:The effect of the General Data Protection Regulation on medical research|The effect of the General Data Protection Regulation on medical research]] | |||
: ▪ [[Journal:Methods for specifying scientific data standards and modeling relationships with applications to neuroscience|Methods for specifying scientific data standards and modeling relationships with applications to neuroscience]] | : ▪ [[Journal:Methods for specifying scientific data standards and modeling relationships with applications to neuroscience|Methods for specifying scientific data standards and modeling relationships with applications to neuroscience]] | ||
: ▪ [[Journal:Data and metadata brokering – Theory and practice from the BCube Project|Data and metadata brokering – Theory and practice from the BCube Project]] | : ▪ [[Journal:Data and metadata brokering – Theory and practice from the BCube Project|Data and metadata brokering – Theory and practice from the BCube Project]] | ||
Revision as of 15:36, 1 May 2017
"Ten simple rules for developing usable software in computational biology"
The rise of high-throughput technologies in molecular biology has led to a massive amount of publicly available data. While computational method development has been a cornerstone of biomedical research for decades, the rapid technological progress in the wet laboratory makes it difficult for software development to keep pace. Wet lab scientists rely heavily on computational methods, especially since more research is now performed in silico. However, suitable tools do not always exist, and not everyone has the skills to write complex software. Computational biologists are required to close this gap, but they often lack formal training in software engineering. To alleviate this, several related challenges have been previously addressed in the Ten Simple Rules series, including reproducibility, effectiveness, and open-source development of software. (Full article...)
Recently featured: