Abstract
The technological progress in informatics and computation sciences has been increasing faster than most could imagine or even understand, not only because of its velocity but essentially because of its large scope of applications. With constant improvements of performance features and relative drop of prices, these equipments are more and more cost effective. One of the areas where the demand for more computing power is most notorious is in biotechnology, especially in DNA researches, where it could turn into the driving force of development because of the need to store and analyze the enormous amount of genomic and proteomic data. However, almost the same has been taken place in all other biotechnology areas. Actually the advances are not only in hardware specifications. Indeed there are new programming techniques, new and powerful languages, and even new entire programming frameworks. Together with the hardware performance these software developments allow more complex problems solution. This chapter will discuss some of the new techniques, solutions and challenges concerning the computing uses in biotechnology and show some examples of implementation like Fersol2 software, for instance.
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Sturm, W., Soccol, C.R., Dergint, D.E.A., Rodríguez-Leön, J.A., Magalháes, D.C.N.V. (2008). Informatics in Solid-state Fermentation. In: Pandey, A., Soccol, C.R., Larroche, C. (eds) Current Developments in Solid-state Fermentation. Springer, New York, NY. https://doi.org/10.1007/978-0-387-75213-6_8
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DOI: https://doi.org/10.1007/978-0-387-75213-6_8
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