In some contexts, such as in bioinformatics applications, it is advantageous to develop a collection of related software products, using SPL approach.
Here we provide a qualitative evaluation of some of the most significant MapReduce bioinformatics applications.
We have performed a short comparative analysis of some bioinformatics software applications (C13, Metatool, BioOpt, FiatFlux, ReMatch, Biolayout, LS-MIDA, DroLIGHT, Isotopo ), describing their type, methodology, implementation, user friendliness, configuration etc., based on the provided, published information (Table 2).
Other research fields that require data-intensive computing workflows (e.g. astronomy, physics, neuro imaging) have contributed some robust APIs and tools which are equally viable for bioinformatics applications.
Most specialized users (scientists) that use bioinformatics applications do not have suitable training on software development.
This paper describes a data mining environment for knowledge discovery in bioinformatics applications.
Other bioinformatics applications have already been successfully supported by the HC-1.
The above mentioned authors wrote an article "CloudBLAST: combining MapReduce and virtualization on distributed resources for bioinformatics applications; [10].
At the National Research Council's Institute for Marine Bioscience in Halifax, the Canadian Bioinformatics Resource provides biologists across Canada access to bioinformatics applications, large-volume data storage, basic training, and advice.
Sequence homology detection is central to a number of bioinformatics applications including genome sequencing and protein family characterization.
