Descriptive evidence of the multidisciplinary and interdisciplinary nature of medical informatics is detectable using the journal classification system in place at PubMed and the National Library of Medicine as a metric.
More specifically, the introduction of open source in synthetic biology brings together the flexibility in regard of patenting with an increasingly informatic understanding of life and nature.
A combination of reasons contribute to this dearth including: rapidly changing technologies that keep bioinformaticians from continually specializing in the analysis of one molecular moiety, insufficient biomedical informatics training opportunities, and the transient nature of the interface between technology development and disease-specific research.
Effort must be expended to ensure that medical school faculty and administrators are aware of the nature of the discipline of medical informatics, and how education in medical informatics is necessary to provide future physicians with essential skills.
In this regard, informatics approaches must be cognizant that the nature of information itself is continually changing along with the environment in which that information resides.
On the other hand the open source model can be distinguished as a common-based strategy that revolves around increasingly informatic ways of thinking about life an nature.
These approaches may not accurately reflect the complete body of medical informatics literature due to the evolving, multi-disciplinary nature of the field.
The multi-step, data-intensive nature of this technology has created an unprecedented informatics and analytical challenge.
The science is still developing and the complexity and extensive polymorphic nature of immune response genes needs enhanced powerful bio-informatics approaches in order to inexpensively manage the vast mass of genetic information.
This can be understood by several survey papers (Peng 2008; Shamir et al. 2010; Danuser 2011; Kanade et al. 2011; Schneider et al. 2012) and the special issue of Nature Methods from July 2012, on the topic of bioimage-informatics.
