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There are many tools which dieters already use, from Weight Watchers apps on their phones to the FitBit, a $129 wristlet which tracks activity, calories, weight and sleep.
There are many tools which can be used to measure optical performance.
XML is also a primary method of marshalling input to databases and there are many tools which allow the construction of db schemas from XML schemas.
In both cases, this required the development of many tools, which took many years.
There are not many tools, which determine a set of diseases based on the user's input set of miRNAs to which we can compare.
Especially, for the preprocessing of microarrays the Bioconductor repository offers many tools which are implemented and stored in various packages 4: affy 5, affyPLM 6, vsn 7,.... Processing a large number of microarrays is generally limited by the available computer hardware.
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I suppose the list was very narrow sided, and there are surely many, many more tools which we could be adding to this list; but I think that is something I'll do in the future (keep an eye out for it), as we've covered a fair share of stuff in this post already.
There are many modelling tools which support design of such systems.
Many older tools which originate from previous domains are poor fits for cloud computing as they rely on centralised strategies, pull models, manual configuration and other anachronisms.
There are many standalone tools, which may be used for the analysis of 16S rRNA marker gene sequencing data and the WGS data.
Many published tools which identify new micro RNA genes use sequence and structure based alignments to find the best candidates [ 63].
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