Title |
Agile parallel bioinformatics workflow management using Pwrake
|
---|---|
Published in |
BMC Research Notes, September 2011
|
DOI | 10.1186/1756-0500-4-331 |
Pubmed ID | |
Authors |
Hiroyuki Mishima, Kensaku Sasaki, Masahiro Tanaka, Osamu Tatebe, Koh-ichiro Yoshiura |
Abstract |
In bioinformatics projects, scientific workflow systems are widely used to manage computational procedures. Full-featured workflow systems have been proposed to fulfil the demand for workflow management. However, such systems tend to be over-weighted for actual bioinformatics practices. We realize that quick deployment of cutting-edge software implementing advanced algorithms and data formats, and continuous adaptation to changes in computational resources and the environment are often prioritized in scientific workflow management. These features have a greater affinity with the agile software development method through iterative development phases after trial and error.Here, we show the application of a scientific workflow system Pwrake to bioinformatics workflows. Pwrake is a parallel workflow extension of Ruby's standard build tool Rake, the flexibility of which has been demonstrated in the astronomy domain. Therefore, we hypothesize that Pwrake also has advantages in actual bioinformatics workflows. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 33% |
United States | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 2 | 3% |
Japan | 2 | 3% |
Netherlands | 2 | 3% |
Malaysia | 1 | 1% |
France | 1 | 1% |
Germany | 1 | 1% |
United Kingdom | 1 | 1% |
Cyprus | 1 | 1% |
Brazil | 1 | 1% |
Other | 1 | 1% |
Unknown | 56 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 28% |
Student > Master | 11 | 16% |
Student > Ph. D. Student | 11 | 16% |
Student > Doctoral Student | 6 | 9% |
Professor | 5 | 7% |
Other | 10 | 14% |
Unknown | 7 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 22 | 32% |
Computer Science | 16 | 23% |
Engineering | 8 | 12% |
Biochemistry, Genetics and Molecular Biology | 6 | 9% |
Medicine and Dentistry | 4 | 6% |
Other | 5 | 7% |
Unknown | 8 | 12% |