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web2py for Scientific Applications
March/April 2011 (vol. 13 no. 2)
pp. 64-69
Massimo Di Pierro, CTI DePaul University

The needs of scientists to communicate effectively, collaborate over the Internet, and organize and present data in a structured and accessible manner have become critically important. The web2py framework offers rapid development and prototyping of secure database-driven Web applications and was created specifically with the scientific and academic communities in mind.

1. M. Di Pierro, web2py Manual, 3rd ed., lulu.com, 2010.
2. M. Di Pierro, "mc4qcd," Proc. Advanced Computing and Analysis Techniques, Proc. Science, 2010; http://pos.sissa.it/archive/conferences/093/054/ACAT2010_054.pdf.
3. S.B. Needleman and C.D Wunsch, "A General Method Applicable to the Search for Similarities in the Amino Acid Sequence of Two Proteins," J. Molecular Biology, vol. 48, no. 3, 1970, pp. 443–53.

Index Terms:
Web application development, biology, scientific computing, Python
Citation:
Massimo Di Pierro, "web2py for Scientific Applications," Computing in Science and Engineering, vol. 13, no. 2, pp. 64-69, March-April 2011, doi:10.1109/MCSE.2010.97
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