Bionitio: demonstrating and facilitating best practices for bioinformatics command-line software
Author(s) -
Peter Georgeson,
Anna Syme,
Clare Sloggett,
Jessica Chung,
Harriet Dashnow,
Michael Milton,
Andrew Lonsdale,
David Powell,
Torsten Seemann,
Bernard J. Pope
Publication year - 2019
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giz109
Subject(s) - computer science , software engineering , software development , documentation , software , application programming interface , usability , software documentation , software development process , programming language , human–computer interaction
Bioinformatics software tools are often created ad hoc, frequently by people without extensive training in software development. In particular, for beginners, the barrier to entry in bioinformatics software development is high, especially if they want to adopt good programming practices. Even experienced developers do not always follow best practices. This results in the proliferation of poorer-quality bioinformatics software, leading to limited scalability and inefficient use of resources; lack of reproducibility, usability, adaptability, and interoperability; and erroneous or inaccurate results.
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