Abstract
Felipe da Veiga Leprevost, Valmir C. Barbosa, and Paulo C. Carvalho are sup-ported by Capes and CNPq; Valmir C. Barbosa is supported by the FAPERJ BBP grant; Yasset Perez-Riverol is supported by the BBSRC PROCESS grant [reference BB/K01997X/1].
Highlights
Bioinformatics is one of the major areas of study in modern biology
Mediumand large-scale quantitative biology studies have created a demand for professionals with proficiency in multiple disciplines, including computer science and statistical inference besides biology
Bioinformatics has become a cornerstone in biology, and yet the formal training of new professionals (Perez-Riverol et al, 2013; Via et al, 2013), the availability of good services for data deposition, and the development of new standards and software coding rules (Sandve et al, 2013; Seemann, 2013) are still major concerns
Summary
Bioinformatics is one of the major areas of study in modern biology. Mediumand large-scale quantitative biology studies have created a demand for professionals with proficiency in multiple disciplines, including computer science and statistical inference besides biology. Bioinformatics has become a cornerstone in biology, and yet the formal training of new professionals (Perez-Riverol et al, 2013; Via et al, 2013), the availability of good services for data deposition, and the development of new standards and software coding rules (Sandve et al, 2013; Seemann, 2013) are still major concerns. Good programming practices range from documentation and code readability through design patterns and testing (Via et al, 2013; Wilson et al, 2014). We highlight some points for best practices and raise important issues to be discussed by the community
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